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An Abandoned Object Detection System Based on Dual Background Segmentation
2009
2009 Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance
An abandoned object detection system is presented and evaluated using benchmark datasets. The detection is based on a simple mathematical model and works efficiently at QVGA resolution at which most CCTV cameras operate. The pre-processing involves a dual-time background subtraction algorithm which dynamically updates two sets of background, one after a very short interval (less than half a second) and the other after a relatively longer duration. The framework of the proposed algorithm is
doi:10.1109/avss.2009.74
dblp:conf/avss/SinghSHML09
fatcat:f3prtmfhhfflfjoyurapcqjbz4