An introduction to Kolmogorov complexity and its applications (2nd ed.)
An introduction to Kolmogorov complexity and its applications (2nd ed.)
Event Detection and Analysis from Video Streams
IEEE Transactions on Pattern Analysis and Machine Intelligence
A framework for a video analysis tool for suspicious event detection
MDM '05 Proceedings of the 6th international workshop on Multimedia data mining: mining integrated media and complex data
Tracking of objects in video scenes with time varying content
EURASIP Journal on Applied Signal Processing
Robust Multiple-People Tracking Using Colour-Based Particle Filters
IbPRIA '07 Proceedings of the 3rd Iberian conference on Pattern Recognition and Image Analysis, Part I
Multi-resolution Tracking in Space and Time
ICVGIP '08 Proceedings of the 2008 Sixth Indian Conference on Computer Vision, Graphics & Image Processing
Multimedia Tools and Applications
A tutorial on particle filters for online nonlinear/non-GaussianBayesian tracking
IEEE Transactions on Signal Processing
State-driven particle filter for multi-person tracking
ACIVS'12 Proceedings of the 14th international conference on Advanced Concepts for Intelligent Vision Systems
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The automatic video content analysis is an important step to provide the content-based video coding, indexing and retrieval. It is also a key issue to the event analysis in video surveillance. In this paper, an automatic event analysis approach is presented. It is based on our previous method of Multi-object Particle Filter Tracking with Dual Consistency Check. The multiple non-rigid objects are first tracked individually in parallel by multi-resolution technique and particle filter method. The events including object presence and occlusion identification are then detected and analyzed by measuring the Goodness-of-Fit Coefficient based on Schwartz's inequality and the Backward Projection. The method is then tested in different indoor and outdoor environments with cluttered background. The experimental results show the robustness and the effectiveness of the method.