Combining Motion Segmentation and Feature Based Tracking for Object Classification and Anomaly Detection

Abstract

We present a novel pipeline for automated visual surveillance system based on utilising conventional adaptive background modelling in-conjunction with optic flow to provide motion sensitive foreground/background segmentation. Furthermore active contours are then used to detect robust motion boundaries within the scene from which PCA is used for object… (More)

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@inproceedings{Li2007CombiningMS, title={Combining Motion Segmentation and Feature Based Tracking for Object Classification and Anomaly Detection}, author={Xiang Li and Toby P. Breckon}, year={2007} }