Share Email Print

Proceedings Paper

Robust detection and tracking pedestrian object for real time surveillance applications
Author(s): Fouad Bousetouane; Lynda Dib; Hichem Snoussi
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

This paper describes about real-time moving pedestrian object detection and tracking. In this work, a new pedestrian object tracking approach is proposed, which uses a new texture model for better representing the pedestrian object. This approach based primarily on a step of object detection for automatic pedestrian object area extraction, features extraction step for pedestrian object representation and finally tracking step based on region matching method. We propose a new texture model for discriminant pedestrian object representation. This model based on a set of Haralick indexes computed from co-occurrence matrix. The presented approach can handle orientation, object scale, illumination changes, and clutter and complex occlusions.

Paper Details

Date Published: 30 September 2011
PDF: 7 pages
Proc. SPIE 8285, International Conference on Graphic and Image Processing (ICGIP 2011), 828508 (30 September 2011); doi: 10.1117/12.913034
Show Author Affiliations
Fouad Bousetouane, Univ. Badji Mokhtar (Algeria)
Univ. of Technology of Troyes (France)
Lynda Dib, Univ. Badji Mokhtar (Algeria)
Hichem Snoussi, Univ. of Technology of Troyes (France)

Published in SPIE Proceedings Vol. 8285:
International Conference on Graphic and Image Processing (ICGIP 2011)
Yi Xie; Yanjun Zheng, Editor(s)

© SPIE. Terms of Use
Back to Top