30 September 2011 Robust detection and tracking pedestrian object for real time surveillance applications
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Proceedings Volume 8285, International Conference on Graphic and Image Processing (ICGIP 2011); 828508 (2011) https://doi.org/10.1117/12.913034
Event: 2011 International Conference on Graphic and Image Processing, 2011, Cairo, Egypt
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.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Fouad Bousetouane, Fouad Bousetouane, Lynda Dib, Lynda Dib, Hichem Snoussi, Hichem Snoussi, } "Robust detection and tracking pedestrian object for real time surveillance applications", Proc. SPIE 8285, International Conference on Graphic and Image Processing (ICGIP 2011), 828508 (30 September 2011); doi: 10.1117/12.913034; https://doi.org/10.1117/12.913034
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