Paper Title:
Human Tracking Method Based on Maximally Stable Extremal Regions with Multi-Cameras
  Abstract

With respect to the human tracking with multi-cameras in the video surveillance system, a human tracking method based on MSER (Maximally Stable Extremal Regions) was established. The approach transforms the human tracking into elliptic region matching. The method does elliptic region fitting to each MSER, and then selects the elliptic regions which meet some constraints. These selected elliptic regions are normalized to unity circular regions. The right matched elliptic regions are gotten by rotational invariant vectors calculation, histogram density estimation and weighted average distance calculation. Experimental results show that the approach can effectively realize the human tracking with multi-cameras.

  Info
Periodical
Edited by
Ran Chen
Pages
3681-3686
DOI
10.4028/www.scientific.net/AMM.44-47.3681
Citation
L. Zhang, G. J. Dai, C. J. Wang, "Human Tracking Method Based on Maximally Stable Extremal Regions with Multi-Cameras", Applied Mechanics and Materials, Vols. 44-47, pp. 3681-3686, 2011
Online since
December 2010
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