16.7.3.2 Detecting Anomolies, Abnormal Event or Rare Events

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], Maybank, S.J.[Steve J.],
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], Singh, S.[Sameer],
A Neural Network-Based Novelty Detector for Image Sequence Analysis,
PAMI(28), No. 10, October 2006, pp. 1664-1677.
WWW Version. 0609 BibRef

Laur, P.A.[Pierre-Alain], Nock, R.[Richard], Symphor, J.E.[Jean-Emile], Poncelet, P.[Pascal],
Mining evolving data streams for frequent patterns,
PR(40), No. 2, February 2007, pp. 492-503.
WWW Version. 0611Data streams; Concentration inequalities; Precision; Recall; Accuracy BibRef

Nock, R.[Richard], Laur, P.A.[Pierre-Alain], Symphor, J.E.[Jean-Emile],
Statistical Borders for Incremental Mining,
ICPR06(III: 212-215).
WWW Version. 0609 BibRef

Huang, Y.[Yan], Pei, J.[Jian], Xiong, H.[Hui],
Mining Co-Location Patterns with Rare Events from Spatial Data Sets,
GeoInfo(10), No. 3, September 2006, pp. 239-260.
WWW Version. 0703 BibRef

Boiman, O.[Oren], Irani, M.[Michal],
Detecting Irregularities in Images and in Video,
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], Rivlin, E.[Ehud], Shimshoni, I.[Ilan], Reinitz, D.[Daviv],
Robust Real-Time Unusual Event Detection using Multiple Fixed-Location 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 detection; Incremental learning; Likelihood ratio test; Dynamic scene modelling; Dynamic Bayesian networks BibRef

Xiang, T.[Tao], Gong, S.G.[Shao-Gang], Parkinson, D.,
Autonomous Visual Events Detection and Classification without Explicit Object-Centred Segmentation and Tracking,
BMVC02(Poster Session). 0208 BibRef

Pruteanu-Malinici, I.[Iulian], Carin, L.[Lawrence],
Infinite Hidden Markov Models for Unusual-Event Detection in Video,
IP(17), No. 5, May 2008, pp. 811-822.
WWW Version. 0804 BibRef
Earlier:
Infinite Hidden Markov Models and ISA Features for Unusual-Event Detection in Video,
ICIP07(V: 137-140).
WWW Version. 0709 BibRef

Sudo, K.[Kyoko], Osawa, T.[Tatsuya], Wakabayashi, K.[Kaoru], Koike, H.[Hideki], Arakawa, K.[Kenichi],
Estimating Anomality of the Video Sequences for Surveillance Using 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 BibRef

Aksay, A.[Anil], Temizel, A.[Alptekin], Cetin, A.E.[A. Enis],
Camera tamper detection using wavelet analysis for video surveillance,
AVSBS07(558-562).
WWW Version. 0709 BibRef

Calderara, S.[Simone], Cucchiara, R.[Rita], Prati, A.[Andrea],
Detection of abnormal behaviors using a mixture of Von Mises distributions,
AVSBS07(141-146).
WWW Version. 0709 BibRef
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 Hierarchical Clustering,
ICIP07(V: 145-148).
WWW Version. 0709 BibRef

Izo, T.[Tomas], Grimson, W.E.L.[W. Eric L.],
Unsupervised Modeling of Object Tracks for Fast Anomaly Detection,
ICIP07(IV: 529-532).
WWW Version. 0709 BibRef

Irani, M.[Michal],
Seeing the Invisible and Predicting the Unexpected,
IbPRIA07(I: 7-8).
WWW Version. 0706 BibRef

Salas, J.[Joaquin], Jimenez-Hernandez, H.[Hugo], Gonzalez-Barbosa, J.J.[Jose-Joel], Hurtado-Ramos, J.B.[Juan B.], Canchola, S.[Sandra],
A Double Layer Background Model to Detect Unusual Events,
ACIVS07(406-416).
WWW Version. 0708 BibRef

Cui, P.[Peng], Sun, L.F.[Li-Feng], Liu, Z.Q.[Zhi-Qiang], Yang, S.Q.[Shi-Qiang],
A Sequential Monte Carlo Approach to Anomaly Detection in Tracking Visual Events,
VS07(1-8).
WWW Version. 0706 BibRef

O'Callaghan, R.[Robert], Haga, T.[Tetsuji],
Robust Change-Detection by Normalised Gradient-Correlation,
VS07(1-8).
WWW Version. 0706 BibRef

Lin, D.T.[Daw-Tung], Liu, M.J.[Ming-Ju],
Face Occlusion Detection for Automated Teller Machine Surveillance,
PSIVT06(641-651).
WWW Version. 0612 BibRef

Branzan Albu, A.[Alexandra], Beugeling, T.[Trevor], Virji-Babul, N.[Naznin], Beach, C.[Cheryl],
Analysis of Irregularities in Human Actions with Volumetric Motion History Images,
Motion07(16-16).
WWW Version. 0702 BibRef

Gaucel, J.M.[Jean-Michel], Guillaume, M.[Mireille], Bourennane, S.[Salah],
Non Orthogonal Component Analysis: Application to Anomaly Detection,
ACIVS06(1198-1209).
WWW Version. 0609 BibRef

Au, C.E.[Carmen E.], Skaff, S.[Sandra], Clark, J.J.[James J.],
Anomaly Detection for Video Surveillance Applications,
ICPR06(IV: 888-891).
WWW Version. 0609 BibRef

Zhou, H.N.[Han-Ning], Kimber, D.[Don],
Unusual Event Detection via Multi-camera Video Mining,
ICPR06(III: 1161-1166).
WWW Version. 0609 BibRef

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).
WWW Version. 0607 BibRef

Itti, L.[Laurent], Baldi, P.[Pierre],
A Principled Approach to Detecting Surprising Events in Video,
CVPR05(I: 631-637).
WWW Version. 0507 BibRef

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 BibRef

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 BibRef

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).
WWW Version. 0409 BibRef

Zhong, H., Shi, J.,
Finding (Un)Usual Events in Video,
CMU-RI-TR-03-05, May, 2003.
HTML Version. 0306 BibRef

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 .