Recognition of Visual Activities and Interactions by Stochastic Parsing
IEEE Transactions on Pattern Analysis and Machine Intelligence
Using Adaptive Tracking to Classify and Monitor Activities in a Site
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Multi Feature Path Modeling for Video Surveillance
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 2 - Volume 02
Event Detection by Eigenvector Decomposition Using Object and Frame Features
CVPRW '04 Proceedings of the 2004 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'04) Volume 7 - Volume 07
Semi-Supervised Adapted HMMs for Unusual Event Detection
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
Activity Recognition and Abnormality Detection with the Switching Hidden Semi-Markov Model
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
Video Behaviour Profiling and Abnormality Detection without Manual Labelling
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision - Volume 2
Unusual Event Detection via Multi-camera Video Mining
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 03
Detecting unusual activity in video
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Learning semantic scene models from observing activity in visual surveillance
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Object Trajectory-Based Activity Classification and Recognition Using Hidden Markov Models
IEEE Transactions on Image Processing
Non-parametric anomaly detection exploiting space-time features
Proceedings of the international conference on Multimedia
Dense spatio-temporal features for non-parametric anomaly detection and localization
Proceedings of the first ACM international workshop on Analysis and retrieval of tracked events and motion in imagery streams
Anomalous video event detection using spatiotemporal context
Computer Vision and Image Understanding
Multi-granularity video unusual event detection based on infinite Hidden Markov models
AICI'11 Proceedings of the Third international conference on Artificial intelligence and computational intelligence - Volume Part II
Unsupervised fast anomaly detection in crowds
MM '11 Proceedings of the 19th ACM international conference on Multimedia
Multi-scale and real-time non-parametric approach for anomaly detection and localization
Computer Vision and Image Understanding
The retrieval of motion event by associations of temporal frequent pattern growth
Future Generation Computer Systems
Learning to rank biological motion trajectories
Image and Vision Computing
Anomaly detection on ITS data via view association
Proceedings of the ACM SIGKDD Workshop on Outlier Detection and Description
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The proposed unusual video event detection method is based on unsupervised clustering of object trajectories, which are modeled by hidden Markov models (HMM). The novelty of the method includes a dynamic hierarchical process incorporated in the trajectory clustering algorithm to prevent model overfitting and a 2-depth greedy search strategy for efficient clustering.