Pfinder: Real-Time Tracking of the Human Body
IEEE Transactions on Pattern Analysis and Machine Intelligence
Analysis of Pixel-Level Algorithms for Video Surveillance Applications
ICIAP '01 Proceedings of the 11th International Conference on Image Analysis and Processing
3DPVT '04 Proceedings of the 3D Data Processing, Visualization, and Transmission, 2nd International Symposium
Histograms of Oriented Gradients for Human Detection
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
An iterative image registration technique with an application to stereo vision
IJCAI'81 Proceedings of the 7th international joint conference on Artificial intelligence - Volume 2
Wavelet-based moving object segmentation using background registration technique
SIP '07 Proceedings of the Ninth IASTED International Conference on Signal and Image Processing
Urban Vehicle Tracking Using a Combined 3D Model Detector and Classifier
KES '09 Proceedings of the 13th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems: Part I
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Visual surveillance systems include a wide range of related areas ranging from motion detection, moving object classification and tracking to activity understanding. Typical applications include traffic surveillance, CCTV security systems, road sign detection. Each of the above-mentioned applications relies greatly on proper motion segmentation method. Many background subtraction algorithms have been proposed. Simple yet robust frame differencing, statistically based Mixture of Gaussians or sophisticated methods based on wavelets or the optical flow computed by the finite element method. In this paper we focus on novel modification of well known MoG. The intrinsic motivation stems from the inability of regular MoG implementation to handle many camera related phenomena. Here presented method exploits Histograms of Oriented Gradients to significantly reduce the influence of camera jitter, automatic iris adjustment or exposure control causing severe degradation of foreground mask. The robustness of introduced method is shown on series of video sequences exhibiting mentioned phenomena.