A Method for Tracking Multiple Targets based on Multi-feature Fusion

DOI

10.2991/ameii-15.2015.235How to use a DOI?

Keywords

multi-target tracking; feature fusion; particle Swarm optimization; Meanshift tracking algorithm; adjustable window.

Abstract

Traditional target tracking methods are easy to lose the target in complex background, especially tracking multiple targets. In this paper PSO Particle Swarm Optimization algorithm is presented, it is used to calculate the weights of features. and weight the features to get optimal feature, then apply the optimal feature to Meanshift. And, combine the adjustable window algorithm with Meanshift to adapt to the change of the target scale. The experiments’ results show that the proposed algorithm has improved the robustness and accuracy than the traditional tracking algorithm in complex background and with multi-target.

Copyright

© 2015, 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  - Yanhai Wu
AU  - Rongrong Zhang
AU  - Nan Wu
AU  - Jing Wang
PY  - 2015/04
DA  - 2015/04
TI  - A Method for Tracking Multiple Targets based on Multi-feature Fusion
BT  - Proceedings of the International Conference on Advances in Mechanical Engineering and Industrial Informatics
PB  - Atlantis Press
SP  - 1274
EP  - 1279
SN  - 2352-5401
UR  - https://doi.org/10.2991/ameii-15.2015.235
DO  - 10.2991/ameii-15.2015.235
ID  - Wu2015/04
ER  -