Multi-camera tracking algorithm study based on information fusion

DOI

10.2991/aest-16.2016.6How to use a DOI?

Keywords

characteristics fusion; target tracking; pedestrian matching.

Abstract

Intelligent video surveillance technology is a part of pattern recognition used for analyzing, extracting and recognizing behavior characteristics of a moving target basing on computer algorithms. The target tracking algorithm combines particle filter and Mean-shift in overlapping multi-camera environment on the intelligent video surveillance system. Multi-camera tracking is studied using a fusion of SURF characteristics, color characteristics and geometric characteristic in Matlab. Experimental results show that the method of tracking between multiple cameras has good accuracy and stability.

Copyright

© 2016, 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  - Guoqiang Wang
AU  - Shangfu Li
AU  - Xue Wen
PY  - 2016/11
DA  - 2016/11
TI  - Multi-camera tracking algorithm study based on information fusion
BT  - Proceedings of the 2016 International Conference on Advanced Electronic Science and Technology (AEST 2016)
PB  - Atlantis Press
SP  - 50
EP  - 56
SN  - 1951-6851
UR  - https://doi.org/10.2991/aest-16.2016.6
DO  - 10.2991/aest-16.2016.6
ID  - Wang2016/11
ER  -