Multi-view tracking using Kalman filter and graph cut

Abstract

In this paper, we propose a multi-view approach to detect and track based on graph-cut and Kalman filter algorithms to solve this problem. The first, object appears in the scene be detected as foreground in each view using a background model and background difference. Next, for related between cameras used homographic constraint. Any pixel inside the… (More)

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Cite this paper

@article{Jahanshahi2015MultiviewTU, title={Multi-view tracking using Kalman filter and graph cut}, author={Parisa Jahanshahi and Amir Masoud and E Behroozi Moghadam}, journal={2015 AI & Robotics (IRANOPEN)}, year={2015}, pages={1-5} }