Proceedings of the 2016 International Conference on Advanced Electronic Science and Technology (AEST 2016)

Multi-camera tracking algorithm study based on information fusion

Authors
Guoqiang Wang, Shangfu Li, Xue Wen
Corresponding Author
Guoqiang Wang
Available Online November 2016.
DOI
https://doi.org/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.
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Proceedings
2016 International Conference on Advanced Electronic Science and Technology (AEST 2016)
Part of series
Advances in Intelligent Systems Research
Publication Date
November 2016
ISBN
978-94-6252-257-2
ISSN
1951-6851
DOI
https://doi.org/10.2991/aest-16.2016.6How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

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  - 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  - https://doi.org/10.2991/aest-16.2016.6
ID  - Wang2016/11
ER  -