Han, S.J.[Sang-Jun],
Cho, S.B.[Sung-Bae],
Evolutionary neural networks for anomaly detection based on the
behavior of a program,
SMC-B(36), No. 3, June 2006, pp. 559-570.
WWW Version.
0606Really other kinds of anomolies.
BibRef
Hu, W.M.[Wei-Ming],
Xiao, X.[Xuejuan],
Fu, Z.Y.[Zhou-Yu],
Xie, D.,
Tan, T.N.[Tie-Niu],
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A System for Learning Statistical Motion Patterns,
PAMI(28), No. 9, September 2006, pp. 1450-1464.
WWW Version.
0608Learn patterns for anomoly detection and prediction of behaviors.
Track, then learn patterns of trajectories. Detect anomolies.
Some comparisons with others:
See also Learning the Distribution of Object Trajectories for Event Recognition.
See also Learning Spatio-temporal Patterns for Predicting Object Behaviour.
See also Learning Semantic Scene Models From Observing Activity in Visual Surveillance.
See also Multi feature path modeling for video surveillance. (these do not use probability distributions on the motion patterns)
See also Learning Patterns of Activity Using Real-Time Tracking.
See also Application of the Self-Organizing Map to Trajectory Classification.
See also Utilizing Learned Motion Patterns to Robustly Track Persons.
BibRef
Markou, M.[Markos],
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A Neural Network-Based Novelty Detector for Image Sequence Analysis,
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WWW Version.
0611Data streams; Concentration inequalities; Precision; Recall; Accuracy
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ICPR06(III: 212-215).
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Mining Co-Location Patterns with Rare Events from Spatial Data Sets,
GeoInfo(10), No. 3, September 2006, pp. 239-260.
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0703
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Boiman, O.[Oren],
Irani, M.[Michal],
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IJCV(74), No. 1, August 2007, pp. 17-31.
WWW Version.
0705
BibRef
ICCV05(I: 462-469).
WWW Version.
0510
Award, Marr Prize, HM. Irregular defined in context.
BibRef
Adam, A.[Amit],
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Shimshoni, I.[Ilan],
Reinitz, D.[Daviv],
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Monitors,
PAMI(30), No. 3, March 2008, pp. 555-560.
WWW Version.
0801Multiple local monitors which collect low-level statistics, each issues an
alert which are integrated to the result.
BibRef
Xiang, T.[Tao],
Gong, S.G.[Shao-Gang],
Video Behavior Profiling for Anomaly Detection,
PAMI(30), No. 5, May 2008, pp. 893-908.
WWW Version.
0803
BibRef
Earlier:
Optimal Dynamic Graphs for Video Content Analysis,
BMVC06(I:177).
PDF Version.
0609
BibRef
Earlier:
Online Video Behaviour Abnormality Detection Using Reliability Measure,
BMVC05(xx-yy).
HTML Version.
0509
BibRef
Earlier:
Activity Based Video Content Trajectory Representation and Segmentation,
BMVC04(xx-yy).
HTML Version.
0508group behaviors through learning. Find anomolies.
BibRef
Xiang, T.[Tao],
Gong, S.G.[Shao-Gang],
Incremental and adaptive abnormal behaviour detection,
CVIU(111), No. 1, July 2008, pp. 59-73.
WWW Version.
0711Behaviour analysis and recognition; Visual surveillance; Abnormality
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modelling; Dynamic Bayesian networks
BibRef
Xiang, T.[Tao],
Gong, S.G.[Shao-Gang],
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Autonomous Visual Events Detection and Classification without Explicit
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0208
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Pruteanu-Malinici, I.[Iulian],
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Infinite Hidden Markov Models for Unusual-Event Detection in Video,
IP(17), No. 5, May 2008, pp. 811-822.
WWW Version.
0804
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Earlier:
Infinite Hidden Markov Models and ISA Features for Unusual-Event
Detection in Video,
ICIP07(V: 137-140).
WWW Version.
0709
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Sudo, K.[Kyoko],
Osawa, T.[Tatsuya],
Wakabayashi, K.[Kaoru],
Koike, H.[Hideki],
Arakawa, K.[Kenichi],
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1-Class SVM,
ICICE(E91-D), No. 7, July 2008, pp. 1929-1936.
WWW Version.
0807
BibRef
Pritch, Y.[Yael],
Rav-Acha, A.[Alex],
Gutman, A.[Avital],
Peleg, S.[Shmuel],
Webcam Synopsis: Peeking Around the World,
ICCV07(1-8).
WWW Version.
0710A short version that contains only those parts where something happens.
Generate the action based description.
BibRef
Reulke, R.[Ralf],
Meysel, F.[Frederik],
Bauer, S.[Sascha],
Situation Analysis and Atypical Event Detection with Multiple Cameras
and Multi-Object Tracking,
RobVis08(234-247).
WWW Version.
0802
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Aksay, A.[Anil],
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Camera tamper detection using wavelet analysis for video surveillance,
AVSBS07(558-562).
WWW Version.
0709
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Calderara, S.[Simone],
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Prati, A.[Andrea],
Detection of abnormal behaviors using a mixture of Von Mises
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AVSBS07(141-146).
WWW Version.
0709
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Earlier:
Multimedia surveillance: content-based retrieval with multicamera
people tracking,
VSSN06(95-100).
WWW Version.
0701
BibRef
Jiang, F.[Fan],
Wu, Y.[Ying],
Katsaggelos, A.K.[Aggelos K.],
Abnormal Event Detection from Surveillance Video by Dynamic
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ICIP07(V: 145-148).
WWW Version.
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Izo, T.[Tomas],
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ICIP07(IV: 529-532).
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IbPRIA07(I: 7-8).
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0706
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Hurtado-Ramos, J.B.[Juan B.],
Canchola, S.[Sandra],
A Double Layer Background Model to Detect Unusual Events,
ACIVS07(406-416).
WWW Version.
0708
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Cui, P.[Peng],
Sun, L.F.[Li-Feng],
Liu, Z.Q.[Zhi-Qiang],
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Visual Events,
VS07(1-8).
WWW Version.
0706
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O'Callaghan, R.[Robert],
Haga, T.[Tetsuji],
Robust Change-Detection by Normalised Gradient-Correlation,
VS07(1-8).
WWW Version.
0706
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Lin, D.T.[Daw-Tung],
Liu, M.J.[Ming-Ju],
Face Occlusion Detection for Automated Teller Machine Surveillance,
PSIVT06(641-651).
WWW Version.
0612
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Branzan Albu, A.[Alexandra],
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Virji-Babul, N.[Naznin],
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0702
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Gaucel, J.M.[Jean-Michel],
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ACIVS06(1198-1209).
WWW Version.
0609
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Au, C.E.[Carmen E.],
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Clark, J.J.[James J.],
Anomaly Detection for Video Surveillance Applications,
ICPR06(IV: 888-891).
WWW Version.
0609
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Zhou, H.N.[Han-Ning],
Kimber, D.[Don],
Unusual Event Detection via Multi-camera Video Mining,
ICPR06(III: 1161-1166).
WWW Version.
0609
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Yu, E.[Elden],
Aggarwal, J.K.,
Detection of stable contacts for human motion analysis,
VSSN06(87-94).
WWW Version.
0701
BibRef
And:
Detection of Fence Climbing from Monocular Video,
ICPR06(I: 375-378).
WWW Version.
0609extended star-skeleton representation, stable contacts are
formed by stationary extreme points.
BibRef
Wang, D.[Dong],
Li, J.M.[Jian-Min],
Zhang, B.[Bo],
Relay Boost Fusion for Learning Rare Concepts in Multimedia,
CIVR06(271-280).
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0607
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Itti, L.[Laurent],
Baldi, P.[Pierre],
A Principled Approach to Detecting Surprising Events in Video,
CVPR05(I: 631-637).
WWW Version.
0507
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Zhong, H.[Hua],
Shi, J.B.[Jian-Bo],
Visontai, M.,
Detecting unusual activity in video,
CVPR04(II: 819-826).
IEEE Abstract. IEEE Top Reference.
0408
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Dee, H.M.,
Hogg, D.C.,
On the feasibility of using a cognitive model to filter surveillance
data,
AVSBS05(34-39).
WWW Version.
0602
BibRef
Earlier:
Detecting inexplicable behaviour,
BMVC04(xx-yy).
HTML Version.
0508
BibRef
Chan, M.T.[Michael T.],
Hoogs, A.[Anthony],
Bhotika, R.[Rahul],
Perera, A.[Amitha],
Schmiederer, J.[John],
Doretto, G.[Gianfranco],
Joint Recognition of Complex Events and Track Matching,
CVPR06(II: 1615-1622).
WWW Version.
0606
BibRef
Chan, M.T.[Michael T.],
Hoogs, A.[Anthony],
Sun, Z.H.[Zhao-Hui],
Schmiederer, J.[John],
Bhotika, R.[Rahul],
Doretto, G.[Gianfranco],
Event Recognition with Fragmented Object Tracks,
ICPR06(I: 412-416).
WWW Version.
0609
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Chan, M.T.[Michael T.],
Hoogs, A.[Anthony],
Schmiederer, J.[John],
Petersen, M.,
Detecting rare events in video using semantic primitives with HMM,
ICPR04(IV: 150-154).
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0409
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Zhong, H.,
Shi, J.,
Finding (Un)Usual Events in Video,
CMU-RI-TR-03-05, May, 2003.
HTML Version.
0306
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Mori, H.,
Ishiguro, H.,
Kotani, S.,
Yasutomi, S.,
Chino, Y.,
A mobile robot strategy applied to Harunobu-4,
ICPR88(I: 525-530).
WWW Version.
8811Apply analysis of stereotypical patterns of motion.
BibRef
Chapter on Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities continues in
Human Motion Understanding and Analysis .