A Tutorial on Support Vector Machines for Pattern Recognition
Data Mining and Knowledge Discovery
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
Comparison of Similarity Measures for Trajectory Clustering in Outdoor Surveillance Scenes
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 03
A Dynamic Programming Technique for Classifying Trajectories
ICIAP '07 Proceedings of the 14th International Conference on Image Analysis and Processing
Properties of Savitzky--Golay digital differentiators
Digital Signal Processing
A survey on visual surveillance of object motion and behaviors
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Tracking video objects in cluttered background
IEEE Transactions on Circuits and Systems for Video Technology
Counting Pedestrians in Video Sequences Using Trajectory Clustering
IEEE Transactions on Circuits and Systems for Video Technology
Multifeature Object Trajectory Clustering for Video Analysis
IEEE Transactions on Circuits and Systems for Video Technology
PedVed: Pseudo Euclidian Distances for Video Events Detection
ISVC '09 Proceedings of the 5th International Symposium on Advances in Visual Computing: Part II
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
Multi-scale and real-time non-parametric approach for anomaly detection and localization
Computer Vision and Image Understanding
An entropy approach for abnormal activities detection in video streams
Pattern Recognition
Computer Vision and Image Understanding
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In this paper, we consider the challenging problem of unusual event detection in video surveillance systems. The proposed approach makes a step toward generic and automatic detection of unusual events in terms of velocity and acceleration. At first, the moving objects in the scene are detected and tracked. A better representation of moving objects trajectories is then achieved by means of appropriate pre-processing techniques. A supervised Support Vector Machine method is then used to train the system with one or more typical sequences, and the resulting model is then used for testing the proposed method with other typical sequences (different scenes and scenarios). Experimental results are shown to be promising. The presented approach is capable of determining similar unusual events as in the training sequences.