Machine Vision and Applications
MM '08 Proceedings of the 16th ACM international conference on Multimedia
Human activity localization via sequential change detection
MIR '08 Proceedings of the 1st ACM international conference on Multimedia information retrieval
Self-Organizing Maps for the Automatic Interpretation of Crowd Dynamics
ISVC '08 Proceedings of the 4th International Symposium on Advances in Visual Computing
Covariance Matrices for Crowd Behaviour Monitoring on the Escalator Exits
ISVC '08 Proceedings of the 4th International Symposium on Advances in Visual Computing, Part II
Unsupervised view and rate invariant clustering of video sequences
Computer Vision and Image Understanding
Unsupervised Real-Time Unusual Behavior Detection for Biometric-Assisted Visual Surveillance
ICB '09 Proceedings of the Third International Conference on Advances in Biometrics
A Simple Method for Eccentric Event Espial Using Mahalanobis Metric
CIARP '09 Proceedings of the 14th Iberoamerican Conference on Pattern Recognition: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
Abnormal crowd motion analysis
ROBIO'09 Proceedings of the 2009 international conference on Robotics and biomimetics
Understanding transit scenes: a survey on human behavior-recognition algorithms
IEEE Transactions on Intelligent Transportation Systems
Incorporating social entropy for crowd behavior detection using SVM
ISVC'10 Proceedings of the 6th international conference on Advances in visual computing - Volume Part I
Motion-based unusual event detection in human crowds
Journal of Visual Communication and Image Representation
Motion pattern extraction and event detection for automatic visual surveillance
Journal on Image and Video Processing - Special issue on advanced video-based surveillance
Using conditional random field for crowd behavior analysis
ACCV'10 Proceedings of the 2010 international conference on Computer vision - Volume Part I
Event detection based on a pedestrian interaction graph using hidden Markov models
PIA'11 Proceedings of the 2011 ISPRS conference on Photogrammetric image analysis
Motion estimation with edge continuity constraint for crowd scene analysis
ISVC'06 Proceedings of the Second international conference on Advances in Visual Computing - Volume Part II
An entropy approach for abnormal activities detection in video streams
Pattern Recognition
Crowd behavior surveillance using bhattacharyya distance metric
CompIMAGE'10 Proceedings of the Second international conference on Computational Modeling of Objects Represented in Images
A survey of video datasets for human action and activity recognition
Computer Vision and Image Understanding
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This paper presents an event detector for emergencies in crowds. Assuming a single camera and a dense crowd we rely on optical flow instead of tracking statistics as a feature to extract information from the crowd video data. The optical flow features are encoded with Hidden Markov Models to allow for the detection of emergency or abnormal events in the crowd. In order to increase the detection sensitivity a local modelling approach is used. The results with simulated crowds show the effectiveness of the proposed approach on detecting abnormalities in dense crowds.