Object Tracking Algorithm Based on Camshift and Grey Prediction Model in Occlusions

DOI

10.2991/iccasm.2012.254How to use a DOI?

Keywords

Occlusions, Grey prediction, Camshift, Object tracking

Abstract

In this paper, an improved object tracking algorithm based on Camshift and grey prediction model GM (1.1) was proposed to solve problem of the poor tracking ability in occlusions. The whole tracking system could be divided into three parts: the occlusions identifying system based on Bhattacharyya coefficient analysis, the prediction system based on grey model GM (1.1) and Camshift algorithm. In the tracking process, those three parts run by turns according to different cases. Experiment results of variant video sequences demonstrate that the proposed method can track the objects stably and accurately during occlusions.

Copyright

© 2012, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Zhiwei Wang
AU  - Fuping Yang
PY  - 2012/08
DA  - 2012/08
TI  - Object Tracking Algorithm Based on Camshift and Grey Prediction Model in Occlusions
BT  - Proceedings of the 2012 International Conference on Computer Application and System Modeling (ICCASM 2012)
PB  - Atlantis Press
SP  - 997
EP  - 1000
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccasm.2012.254
DO  - 10.2991/iccasm.2012.254
ID  - Wang2012/08
ER  -