Poseidon Technologies,
1995.
HTML Version.
Vendor, Surveillance. Swimmer monitoring. The system saves lives.
A part of MG International which has non-vision swimming pool technologies.
Lu, W.[Wenmiao],
Tan, Y.P.[Yap-Peng],
A Vision-Based Approach to Early Detection of Drowning Incidents in
Swimming Pools,
CirSysVideo(14), No. 2, February 2004, pp. 159-178.
IEEE Abstract.
0403
BibRef
Earlier:
A camera-based system for early detection of drowning incidents,
ICIP02(III: 445-448).
IEEE Abstract.
0210
BibRef
Kam, A.H.,
Lu, W.,
Yau, W.Y.,
A Video-Based Drowning Detection System,
ECCV02(IV: 297 ff.).
HTML Version.
0205
BibRef
Brodsky, T.[Tomas],
Trajkovic, M.[Miroslav],
Cohen, R.A.[Robert A.],
Lyons, D.M.[Damian M.],
Cohen-Solal, E.[Eric],
Method and apparatus to distinguish deposit and removal in
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US_Patent6,731,805, May 4, 2004
WWW Version.
BibRef
0405
Brodsky, T.[Tomas],
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Video based detection of fall-down and other events,
US_Patent7,110,569, Sep 19, 2006
WWW Version.
BibRef
0609
McKenna, S.J.[Stephen J.],
Nait-Charif, H.[Hammadi],
Summarising Contextual Activity and Detecting Unusual Inactivity
in a Supportive Home Environment,
PAA(7), No. 4, December 2004, pp. 386-401.
PDF Version.
BibRef
0412
Earlier: A2, A1:
Activity summarisation and fall detection in a supportive home
environment,
ICPR04(IV: 323-326).
IEEE DOI Link
0409
BibRef
Aubert, D.[Didier],
Guichard, F.[Frédéric],
Bouchafa, S.[Samia],
Time-scale change detection applied to real-time abnormal stationarity
monitoring,
RealTimeImg(10), No. 1, February 2004, pp. 9-22.
WWW Version.
0405
Develop a change detection algorithm. Use change detection over time to
find non-changes (i.e. people). Used in drowning detection system.
BibRef
Meniere, J.[Jerome],
Lefebure, M.[Martin],
Guichard, F.[Frederic],
Migliorini, C.[Christophe],
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US_Patent7,362,351, Apr 22, 2008
WWW Version.
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0804
Guicard, F.,
Lavest, J.M.,
Liege, B.,
Meniere, J.,
Poseidon Technologies: The world's first and only computer-aided
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CVPR01(Demos 17-18).
0110
See also Poseidon Technologies.
BibRef
Eng, H.L.[How-Lung],
Wang, J.X.[Jun-Xian],
Wah, A.H.K.S.[Alvin Harvey Kam Siew],
Yau, W.Y.[Wei-Yun],
Robust Human Detection Within a Highly Dynamic Aquatic Environment in
Real Time,
IP(15), No. 6, June 2006, pp. 1583-1600.
IEEE DOI Link
0606
BibRef
Earlier:
Novel region-based modeling for human detection within highly dynamic
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CVPR04(II: 390-397).
IEEE Abstract.
0408
BibRef
Eng, H.L.[How-Lung],
Kam, A.H.,
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Jiang, L.J.[Li-Juan],
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CIAP03(133-138).
IEEE Abstract.
0310
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Wang, J.X.[Jun-Xian],
Eng, H.L.[How-Lung],
Kam, A.H.[Alvin H.],
Yau, W.Y.[Wei-Yun],
Specular Reflection Removal for Human Detection under Aquatic
Environment,
OTCBVS04(130).
HTML Version.
0502
BibRef
Eng, H.L.[How-Lung],
Wang, J.X.[Jun-Xian],
Kam, A.H.,
Yau, W.Y.[Wei-Yun],
A bayesian framework for robust human detection and occlusion handling
using human shape model,
ICPR04(II: 257-260).
IEEE DOI Link
0409
BibRef
Eng, H.L.[How-Lung],
Toh, K.A.[Kar-Ann],
Wah, A.H.K.S.[Alvin Harvey Kam Siew],
Wang, J.X.[Jun-Xian],
Yau, W.Y.[Wei-Yun],
An automatic drowning detection surveillance system for challenging
outdoor pool environments,
ICCV03(532-539).
IEEE DOI Link
0311
BibRef
Eng, H.L.[How-Lung],
Toh, K.A.[Kar-Ann],
Yau, W.Y.[Wei-Yun],
Chiew, T.K.[Tuan-Kiang],
Recognition of Complex Human Behaviors in Pool Environment Using
Foreground Silhouette,
ISVC05(371-379).
Springer DOI Link
0512
BibRef
Eng, H.L.,
Toh, K.A.,
Yau, W.Y.,
Wang, J.,
DEWS: A Live Visual Surveillance System for Early Drowning Detection at
Pool,
CirSysVideo(18), No. 2, February 2008, pp. 196-210.
IEEE DOI Link
0803
BibRef
Lu, S.J.[Si-Jun],
Zhang, J.[Jian],
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Detecting unattended packages through human activity recognition and
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PR(40), No. 8, August 2007, pp. 2173-2184.
WWW Version.
0704
BibRef
A Knowledge-Based Approach for Detecting Unattended Packages in
Surveillance Video,
AVSBS06(110-110).
IEEE DOI Link
0611
Unattended package; Human activity recognition; Eigen-features; SVM; HMM
BibRef
Ong, C.[Cahya],
Lu, S.J.[Si-Jun],
Zhang, J.[Jian],
An Approach for Enhancing the Results of Detecting Foreground Objects
and Their Moving Shadows in Surveillance Video,
DICTA08(242-249).
IEEE DOI Link
0812
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Lu, S.J.[Si-Jun],
Zhang, J.[Jian],
Feng, D.D.[David Dagan],
An efficient method for detecting ghost and left objects in
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AVSBS07(540-545).
IEEE DOI Link
0709
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Anderson, D.[Derek],
Luke, R.H.[Robert H.],
Keller, J.M.[James M.],
Skubic, M.[Marjorie],
Rantz, M.[Marilyn],
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Linguistic summarization of video for fall detection using voxel person
and fuzzy logic,
CVIU(113), No. 1, January 2009, pp. 80-89.
Elsevier DOI Link
WWW Version.
0812
Linguistic summarization; Activity analysis; Fuzzy logic; Fall
detection; Eldercare; Voxel person
BibRef
Yang, J.H.[Jeong-Hwa],
Schilit, B.N.[Bill N.],
McDonald, D.W.[David W.],
Activity Recognition for the Digital Home,
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IEEE DOI Link
0804
BibRef
Chung, P.C.[Pau-Choo],
Liu, C.D.[Chin-De],
A daily behavior enabled hidden Markov model for human behavior
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PR(41), No. 5, May 2008, pp. 1589-1597.
WWW Version.
0711
Behavior recognition; Duration HMM; Hierarchical HMM; Context
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Thome, N.[Nicolas],
Miguet, S.[Serge],
Ambellouis, S.,
A Real-Time, Multiview Fall Detection System: A LHMM-Based Approach,
CirSysVideo(18), No. 11, November 2008, pp. 1522-1532.
IEEE DOI Link
0811
BibRef
Earlier: A1, A2, Only:
A HHMM-Based Approach for Robust Fall Detection,
ICARCV06(1-8).
IEEE DOI Link
0612
BibRef
Earlier: A1, A2, Only:
A robust appearance model for tracking human motions,
AVSBS05(528-533).
IEEE DOI Link
0602
BibRef
Thome, N.[Nicolas],
Merad, D.[Djamel],
Miguet, S.[Serge],
Learning articulated appearance models for tracking humans:
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SP:IC(23), No. 10, November 2008, pp. 769-787,.
Elsevier DOI Link
WWW Version.
0804
BibRef
Earlier:
Human Body Part Labeling and Tracking Using Graph Matching Theory,
AVSBS06(38-38).
IEEE DOI Link
0611
Real-time multiple people tracking; On-line articulated appearance
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Pop, I.[Ionel],
Mihaela, S.[Scuturici],
Miguet, S.[Serge],
Common Motion Map Based on Codebooks,
ISVC09(II: 1181-1190).
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0911
BibRef
Pop, I.[Ionel],
Mihaela, S.[Scuturici],
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ICPR08(1-4).
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0812
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Kerhet, A.[Aliaksei],
Magno, M.[Michele],
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Benini, L.[Luca],
A low-power wireless video sensor node for distributed object detection,
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Springer DOI Link
0712
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Magno, M.[Michele],
Tombari, F.[Federico],
Brunelli, D.[Davide],
di Stefano, L.[Luigi],
Benini, L.[Luca],
Multimodal Abandoned/Removed Object Detection for Low Power Video
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AVSBS09(188-193).
IEEE DOI Link
0909
BibRef
Bhargava, M.[Medha],
Chen, C.C.[Chia-Chih],
Ryoo, M.S.,
Aggarwal, J.K.,
Detection of object abandonment using temporal logic,
MVA(20), No. 5, July 2009, pp. xx-yy.
Springer DOI Link
0906
BibRef
Earlier:
Detection of abandoned objects in crowded environments,
AVSBS07(271-276).
IEEE DOI Link
0709
BibRef
Chen, C.C.[Chia-Chih],
Aggarwal, J.K.,
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WMVC09(1-7).
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0912
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Snoek, J.[Jasper],
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WWW Version.
0811
BibRef
Earlier: A1, A2, A3, A4, Only:
CRV06(5-5).
IEEE DOI Link
0607
Human motion analysis; Hidden Markov model; Gait analysis; Anomaly
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Automated video analysis; Machine learning; Biomedical analysis;
Stairs
BibRef
Hoey, J.[Jesse],
Poupart, P.[Pascal],
von Bertoldi, A.[Axel],
Craig, T.[Tammy],
Boutilier, C.[Craig],
Mihailidis, A.[Alex],
Automated handwashing assistance for persons with dementia using video
and a partially observable Markov decision process,
CVIU(114), No. 5, May 2010, pp. 503-519.
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1004
Assistive technology; Decision theory; Human tracking; Particle
filters; Behavior monitoring; POMDP; User trials
BibRef
Lai, C.F.[Chin-Feng],
Huang, Y.M.[Yueh-Min],
Park, J.H.[Jong Hyuk],
Chao, H.C.[Han-Chieh],
Adaptive Body Posture Analysis for Elderly-Falling Detection with
Multisensors,
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1006
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Kong, H.[Hui],
Audibert, J.Y.,
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IP(19), No. 8, August 2010, pp. 2201-2210.
IEEE DOI Link
1008
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Jeong, I.W.[Il-Woong],
Choi, J.[Jin],
Cho, K.[Kyusung],
Seo, Y.H.[Yong-Ho],
Yang, H.S.[Hyun Seung],
A Vision-Based Emergency Response System with a Paramedic Mobile Robot,
IEICE(E93-D), No. 7, July 2010, pp. 1745-1753.
WWW Version.
1008
Surveillance for elderly.
BibRef
GE Healthcare's Smart Patient Room to Begin Data Collection,
GE Healthcarepress release, September 2010.
WWW Version. Vision included in patient monitoring.
BibRef
1009
Ahmad, M.[Mohiuddin],
Lee, S.W.[Seong-Whan],
Human action recognition using shape and CLG-motion flow from
multi-view image sequences,
PR(41), No. 7, July 2008, pp. 2237-2252.
WWW Version.
0804
BibRef
And:
Recognizing human actions based on silhouette energy image and global
motion description,
FG08(1-6).
IEEE DOI Link
0809
BibRef
Earlier:
HMM-based Human Action Recognition Using Multiview Image Sequences,
ICPR06(I: 263-266).
IEEE DOI Link
0609
BibRef
And:
Human Action Recognition Using Multi-View Image Sequences Features,
FGR06(523-528).
IEEE DOI Link
0604
Action recognition; Action matrix; Combined local-global (CLG) optic
flow; Invariant Zernike moments; Multi-view image sequence;
Multidimensional hidden Markov model (MDHMM)
BibRef
Ahmad, M.[Mohiuddin],
Lee, S.W.[Seong-Whan],
Variable silhouette energy image representations for recognizing human
actions,
IVC(28), No. 5, May 2010, pp. 814-824.
Elsevier DOI Link
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1003
Silhouette energy image; Action recognition; Variability action
models; Daily life actions; Global motion description
BibRef
Gualdi, G.[Giovanni],
Prati, A.[Andrea],
Cucchiara, R.[Rita],
Contextual Information and Covariance Descriptors for People
Surveillance: An Application for Safety of Construction Workers,
JIVP(2011), No. 2011, pp. xx-yy.
WWW Version.
1101
See also Multi-stage Sampling with Boosting Cascades for Pedestrian Detection in Images and Videos.
BibRef
Chung, P.C.[Pau-Choo],
Kuo, Y.M.[Yung-Ming],
Liu, C.D.[Chin-De],
Huang, C.R.[Chun-Rong],
Video analysis boosts healthcare efficiency and safety,
SPIE(Newsroom), February 10, 2011.
WWW Version.
1102
Video-pattern-recognition programs enable automated patient monitoring
for diagnostic and safety purposes, thus reducing staffing
requirements in hospitals and nursing homes.
BibRef
Grabowski, A.,
Kosinski, R.A.,
Dzwiarek, M.,
Vision safety system based on cellular neural networks,
MVA(22), No. 3, May 2011, pp. 581-590.
WWW Version.
1104
Human-machine interface where there is spatial overlap. Detect when human is
in danger.
BibRef
Rougier, C.,
Meunier, J.[Jean],
St-Arnaud, A.[Alain],
Rousseau, J.[Jacqueline],
Robust Video Surveillance for Fall Detection Based on Human Shape
Deformation,
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IEEE DOI Link
1105
BibRef
Auvinet, E.[Edouard],
Multon, F.[Franck],
St-Arnaud, A.[Alain],
Rousseau, J.[Jacqueline],
Meunier, J.[Jean],
Fall Detection Using Body Volume Recontruction and Vertical Repartition
Analysis,
ICISP10(376-383).
Springer DOI Link
1006
BibRef
Liao, Y.T.[Yi Ting],
Huang, C.L.[Chung-Lin],
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Slip and fall event detection using Bayesian Belief Network,
PR(45), No. 1, January 2012, pp. 24-32.
Elsevier DOI Link
WWW Version.
1109
BibRef
Earlier: A1, A2, Only:
Slip and Fall Events Detection by Analyzing the Integrated
Spatiotemporal Energy Map,
ICPR10(1718-1721).
IEEE DOI Link
1008
Bayesian Belief Network (BBN); Slip and fall event detection; Motion
history image (MHI); Integrated spatiotemporal energy (ISTE) map;
Motion active (MA) area
BibRef
Tian, Y.L.[Ying-Li],
Feris, R.S.[Rogerio S.],
Liu, H.,
Hampapur, A.[Arun],
Sun, M.T.,
Robust Detection of Abandoned and Removed Objects in Complex
Surveillance Videos,
SMC-C(41), No. 5, September 2011, pp. 565-576.
IEEE DOI Link
1109
BibRef
Tian, Y.L.[Ying-Li],
Feris, R.S.[Rogerio S.],
Hampapur, A.[Arun],
Real-Time Detection of Abandoned and Removed Objects in Complex
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VS08(xx-yy).
0810
BibRef
San Miguel, J.C.[Juan Carlos],
Martínez, J.M.[José M.],
Use of feedback strategies in the detection of events for video
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IET-CV(5), No. 5, 2011, pp. 309-319.
WWW Version.
1110
BibRef
Earlier:
Robust Unattended and Stolen Object Detection by Fusing Simple
Algorithms,
AVSBS08(18-25).
IEEE DOI Link
0809
See also Commentary Paper 2 on Robust Unattended and Stolen Object Detection by Fusing Simple Algorithms.
See also Commentary Paper 1 on Robust Unattended and Stolen Object Detection by Fusing Simple Algorithms.
BibRef
Temizel, A.[Alptekin],
Reducing the false alarm rate in abandoned object detection,
SPIE(Newsroom), October 5, 2011
WWW Version.
1110
Thermal and visible-band video makes it possible to discriminate
suspicious objects from people.
BibRef
Stikic, M.[Maja],
Larlus, D.[Diane],
Ebert, S.[Sandra],
Schiele, B.[Bernt],
Weakly Supervised Recognition of Daily Life Activities with Wearable
Sensors,
PAMI(33), No. 12, December 2011, pp. 2521-2537.
IEEE DOI Link
1110
Learning, reduce annotation effort.
BibRef
Ni, B.B.[Bing-Bing],
Wang, G.[Gang],
Moulin, P.[Pierre],
RGBD-HuDaAct:
A color-depth video database for human daily activity recognition,
ConDepth11(1147-1153).
IEEE DOI Link
1201
BibRef
Schels, J.[Johannes],
Liebelt, J.[Joerg],
Lienhart, R.[Rainer],
Self-calibrating 3D context for retrieving people with luggage,
VS11(1920-1927).
IEEE DOI Link
1201
BibRef
Pan, J.[Jiyan],
Fan, Q.F.[Quan-Fu],
Pankanti, S.[Sharath],
Robust abandoned object detection using region-level analysis,
ICIP11(3597-3600).
IEEE DOI Link
1201
BibRef
Wannous, H.[Hazem],
Dovgalecs, V.[Vladislavs],
Mégret, R.[Rémi],
Daoudi, M.[Mohamed],
Place Recognition via 3D Modeling for Personal Activity Lifelog Using
Wearable Camera,
MMMod12(244-254).
Springer DOI Link
1201
BibRef
Campos, L.C.[L. Caro],
San Miguel, J.C.[Juan Carlos],
Martinez, J.M.[José M.],
Discrimination of abandoned and stolen object based on active contours,
AVSBS11(101-106).
IEEE DOI Link
1111
BibRef
Lanza, A.,
Magno, M.,
Brunelli, D.,
di Stefano, L.,
Benini, L.,
Energy-aware objects abandon/removal detection,
RAWNETS11(443-448).
IEEE DOI Link
1111
BibRef
Fan, Q.F.[Quan-Fu],
Pankanti, S.[Sharath],
Modeling of temporarily static objects for robust abandoned object
detection in urban surveillance,
AVSBS11(36-41).
IEEE DOI Link
1111
BibRef
Qian, H.M.[Hui-Min],
Mao, Y.B.[Yao-Bin],
Xiang, W.[Wenbo],
Wang, Z.Q.[Zhi-Quan],
Home environment fall detection system based on a cascaded multi-SVM
classifier,
ICARCV08(1567-1572).
IEEE DOI Link
1109
BibRef
Belbachir, A.N.[Ahmed Nabil],
Schraml, S.[Stephan],
Nowakowska, A.[Aneta],
Event-driven stereo vision for fall detection,
ECVW11(78-83).
IEEE DOI Link
1106
BibRef
Appiah, K.[Kofi],
Hunter, A.[Andrew],
Waltham, C.[Christopher],
Low-power and efficient ambient assistive care system for elders,
ECVW11(97-102).
IEEE DOI Link
1106
BibRef
Evangelio, R.H.[Ruben Heras],
Patzold, M.[Michael],
Sikora, T.[Thomas],
A system for automatic and interactive detection of static objects,
POV11(27-32).
IEEE DOI Link
1101
See also Static Object Detection Based on a Dual Background Model and a Finite-State Machine.
BibRef
Evangelio, R.H.[Ruben Heras],
Senst, T.[Tobias],
Sikora, T.[Thomas],
Detection of static objects for the task of video surveillance,
WACV11(534-540).
IEEE DOI Link
1101
I.e. a bag left behind.
BibRef
Shoaib, M.,
Dragon, R.,
Ostermann, J.,
View-invariant Fall Detection for Elderly in Real Home Environment,
PSIVT10(52-57).
IEEE DOI Link
1011
BibRef
Hodlmoser, M.[Michael],
Micusik, B.[Branislav],
Kampel, M.[Martin],
Exploiting spatial consistency for object classification and pose
estimation,
ICIP11(993-996).
IEEE DOI Link
1201
BibRef
Zweng, A.[Andreas],
Kampel, M.[Martin],
Introducing Confidence Maps to Increase the Performance of Person
Detectors,
ISVC11(II: 446-455).
Springer DOI Link
1109
BibRef
Zweng, A.[Andreas],
Zambanini, S.[Sebastian],
Kampel, M.[Martin],
Introducing a Statistical Behavior Model into Camera-Based Fall
Detection,
ISVC10(I: 163-172).
Springer DOI Link
1011
BibRef
Chen, Y.T.[Yie-Tarng],
Lin, Y.C.[Yu-Ching],
Fang, W.H.[Wen-Hsien],
A hybrid human fall detection scheme,
ICIP10(3485-3488).
IEEE DOI Link
1009
BibRef
Huang, Y.C.[Yi-Chang],
Miaou, S.G.[Shaou-Gang],
Liao, T.Y.[Tsung-Yen],
A Human Fall Detection System Using an Omni-Directional Camera in
Practical Environments for Health Care Applications,
MVA09(455-).
PDF Version.
0905
BibRef
Ober, A.,
Henrich, D.,
A Safe Fault Tolerant Multi-view Approach for Vision-Based Protective
Devices,
AVSS10(17-25).
IEEE DOI Link
1009
BibRef
Malakuti, K.[Kaveh],
Albu, A.B.[Alexandra Branzan],
Towards an Intelligent Bed Sensor: Non-intrusive Monitoring of Sleep
Irregularities with Computer Vision Techniques,
ICPR10(4004-4007).
IEEE DOI Link
1008
BibRef
Karaman, S.[Svebor],
Benois-Pineau, J.[Jenny],
Megret, R.[Remi],
Dovgalecs, V.[Vladislavs],
Dartigues, J.F.[Jean-Francois],
Gaestel, Y.[Yann],
Human Daily Activities Indexing in Videos from Wearable Cameras for
Monitoring of Patients with Dementia Diseases,
ICPR10(4113-4116).
IEEE DOI Link
1008
BibRef
Li, X.L.[Xu-Li],
Zhang, C.[Chao],
Zhang, D.[Duo],
Abandoned Objects Detection Using Double Illumination Invariant
Foreground Masks,
ICPR10(436-439).
IEEE DOI Link
1008
BibRef
Cadavid, S.[Steven],
Abdel-Mottaleb, M.[Mohamed],
Exploiting Visual Quasi-periodicity for Automated Chewing Event
Detection Using Active Appearance Models and Support Vector Machines,
ICPR10(1714-1717).
IEEE DOI Link
1008
BibRef
Wu, P.[Pin],
Hsieh, J.W.[Jun-Wei],
Cheng, J.C.[Jiun-Cheng],
Cheng, S.C.[Shyi-Chyi],
Tseng, S.Y.[Shau-Yin],
Human Smoking Event Detection Using Visual Interaction Clues,
ICPR10(4344-4347).
IEEE DOI Link
1008
BibRef
Doulamis, A.D.,
Doulamis, N.D.,
Kalisperakis, I.,
Stentoumis, C.,
A Real-time Single-camera Approach For Automatic Fall Detection,
CloseRange10(xx-yy).
PDF Version.
1006
BibRef
Snoek, J.[Jasper],
Taati, B.[Babak],
Eskin, Y.[Yulia],
Mihailidis, A.[Alex],
Automatic segmentation of video to aid the study of faucet usability
for older adults,
CVPR4HB10(63-70).
IEEE DOI Link
1006
BibRef
Wen, J.T.[Jian-Ting],
Gong, H.F.[Hai-Feng],
Zhang, X.[Xia],
Hu, W.Z.[Wen-Ze],
Generative model for abandoned object detection,
ICIP09(853-856).
IEEE DOI Link
0911
BibRef
Xie, D.[Dan],
Grupen, R.A.[Roderic A.],
Hanson, A.R.[Allen R.],
Context-aware search using cooperative agents in a smart environment,
WACV09(1-6).
IEEE DOI Link
0912
Object search for elder care.
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Ding, J.R.[Jiun-Ren],
Bed Status Detection for Elder-Care Center,
WSSIP09(1-4).
IEEE DOI Link
0906
BibRef
Puri, M.[Manika],
Zhu, Z.W.[Zhi-Wei],
Yu, Q.[Qian],
Divakaran, A.[Ajay],
Sawhney, H.[Harpreet],
Recognition and volume estimation of food intake using a mobile device,
WACV09(1-8).
IEEE DOI Link
0912
BibRef
Zhao, H.X.[Hui-Xi],
Yang, H.[Hua],
Zheng, S.B.[Shi-Bao],
An Efficient Method for Detecting Ghosts and Left Objects in
Intelligent Video Surveillance,
CISP09(1-6).
IEEE DOI Link
0910
BibRef
Singh, A.,
Sawan, S.,
Hanmandlu, M.,
Madasu, V.K.,
Lovell, B.C.,
An Abandoned Object Detection System Based on Dual Background
Segmentation,
AVSBS09(352-357).
IEEE DOI Link
0909
BibRef
Zouba, N.[Nadia],
Bremond, F.[Francois],
Thonnat, M.[Monique],
An Activity Monitoring System for Real Elderly at Home:
Validation Study,
AVSS10(278-285).
IEEE DOI Link
1009
BibRef
Earlier:
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Human Pose. Model video events from small set of postures.
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Commentary Paper 1 on 'Robust Unattended and Stolen Object Detection by
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AVSBS08(26-26).
IEEE DOI Link
0809
See also Robust Unattended and Stolen Object Detection by Fusing Simple Algorithms.
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Sofka, M.[Michal],
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IEEE DOI Link
0809
See also Robust Unattended and Stolen Object Detection by Fusing Simple Algorithms.
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Liao, H.H.[Huei-Hung],
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A Localized Approach to Abandoned Luggage Detection with
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IEEE DOI Link
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See also Commentary Paper 2 on A Localized Approach to Abandoned Luggage Detection with Foreground-Mask Sampling.
See also Commentary Paper 1 on A Localized Approach to Abandoned Luggage Detection with Foreground-Mask Sampling.
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Nicolescu, M.[Mircea],
Commentary Paper 1 on 'A Localized Approach to Abandoned Luggage
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AVSBS08(140-141).
IEEE DOI Link
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See also Localized Approach to Abandoned Luggage Detection with Foreground-Mask Sampling, A.
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Prati, A.[Andrea],
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AVSBS08(142-142).
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Video-Based Fall Detection in the Home Using Principal Component
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A multi-sensor approach for People Fall Detection in home environment,
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Otoom, A.F.[Ahmed Fawzi],
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ICIP08(1368-1371).
IEEE DOI Link
0810
See also Maximum-likelihood dimensionality reduction in gaussian mixture models with an application to object classification.
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Detecting and Recognizing Abandoned Objects in Crowded Environments,
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Liao, W.H.[Wen-Hung],
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Video-based activity and movement pattern analysis in overnight sleep
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Ferrando, S.,
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AVSBS06(21-21).
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An Abandoned/Removed Objects Detection Algorithm and Its Evaluation on
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AVSBS06(17-17).
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Savogin, I.,
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Beynon, M.D.,
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Chapter on Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities continues in
Intruders, Intrusions, Intrusion Detection, Threats .