Human Detection, Tracking and Trajectory Extraction in a Surveillance Camera network
Journal Title: International Journal of Modern Engineering Research (IJMER) - Year 2013, Vol 3, Issue 3
Abstract
This paper proposes human tracking and recognition method in a camera network. Human matching in a multi-camera surveillance system is a fundamental issue for increasing the accuracy of recognition in multiple views of cameras. In camera network, videos have different characteristics such as pose, scale and illumination. Therefore it is necessary to use a hybrid scheme of scale invariant feature transform to detection and recognition human’s behaviors. The main focus of this paper is to analyze activities for tracking and recognition humans to extract trajectories. Extracting thetrajectories help to detect abnormal behavior which may be occluded in single- camera surveillance
Authors and Affiliations
Peyman Babaei
Keywords
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- EP ID EP130725
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