An Abandoned Object Detection System Based on Dual Background Segmentation
AVSS '09 Proceedings of the 2009 Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance
MICAI'10 Proceedings of the 9th Mexican international conference on Advances in artificial intelligence: Part I
Acquisition of three-dimensional information of brain structures using endoneurosonography
Expert Systems with Applications: An International Journal
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Visual tracking is one of the most important topics of computer vision. Challenging situations occurs when the time between frames is long enough to show significant spatial jumps of the target being tracked or when the target has unexpected motions. In this paper we offer an alternative to these situations. We use background subtraction to find the foreground regions (regions that move between frames). Using the foreground regions and a modified version of the well-known particle filter we are able to track targets in an omnidirectional sequence with a low frame rate (one or two frames per second). Our approach can tackle unexpected discontinuities and changes in the direction of the motion.