Pedestrian Detection and Tracking Based on A Novel Background Subtraction & Particle Filter

DOI

10.2991/iiicec-15.2015.210How to use a DOI?

Keywords

pedestrian;detection; tracking;background subtraction;particle filter

Abstract

This paper focuses on pedestrian detection of moving objects, and then tracking the detected objects. The pedestrian detection is performed using an algorithm based on a type of background subtraction technique. This technique not only uses a median-based approach for initial background estimation but also a novel two-pass approach for noise removal. The tracking of the detected object is then done using an offline particle filter. The proposed applications of the algorithm presented in this paper, could be pedestrian activity monitoring, ITS, etc. The experiment indicates that the algorithm can detect and track the pedestrian effectively.

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  - Defang Liu
AU  - Ming Deng
PY  - 2015/03
DA  - 2015/03
TI  - Pedestrian Detection and Tracking Based on A Novel Background Subtraction & Particle Filter
BT  - Proceedings of the 2015 International Industrial Informatics and Computer Engineering Conference
PB  - Atlantis Press
SP  - 939
EP  - 942
SN  - 2352-538X
UR  - https://doi.org/10.2991/iiicec-15.2015.210
DO  - 10.2991/iiicec-15.2015.210
ID  - Liu2015/03
ER  -