A Rapid Robust Pedestrians Target Detection and Extraction

DOI

10.2991/iccasm.2012.271How to use a DOI?

Keywords

Mixture Gaussian model, background subtraction, Shadow elimination, Binarization, connectivity analysis

Abstract

To meet the public security and criminal investigation requirement, this paper studies detecting and tracking of human motion through related theories on image processing and pattern recognition. The video information is obtained from video monitoring system (VMS). Background modeling is based on mixture Gaussian model. The background subtraction is used for detecting moving targets, separating the targets from the background and meanwhile eliminating shadows. This method can also accomplish binarization and connectivity analysis of human targets, mark rectangular frame of the human body and extract human targets. Therefore the image region which appeals to the criminal investigation can be acquired. Experimental results show the good performance of the algorithm which lays a solid foundation for further study on target tracking and recognition.

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  - Xiaokun Zhang
AU  - Benjie Wei
AU  - Shan Li
PY  - 2012/08
DA  - 2012/08
TI  - A Rapid Robust Pedestrians Target Detection and Extraction
BT  - Proceedings of the 2012 International Conference on Computer Application and System Modeling (ICCASM 2012)
PB  - Atlantis Press
SP  - 1069
EP  - 1071
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccasm.2012.271
DO  - 10.2991/iccasm.2012.271
ID  - Zhang2012/08
ER  -