Intelligent pedestrian detection system in semi-dark environment

Publication Type:
Conference Proceeding
Citation:
SoCPaR 2009 - Soft Computing and Pattern Recognition, 2009, pp. 598 - 603
Issue Date:
2009-12-01
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Computer vision techniques have been widely used in various applications. In recent years, as energy efficiency have gradually become a important issues, computer vision techniques can be integrated into a smart control system that helps increase the energy efficiency by controlling the turn on of the light based on human detection . However, implement such system that detect walking human in a semi-dark environment remains a challenge. This paper proposes a novel detection technique combining movement analysis and SVM classifier to tackle this problem. This technique consist of a few steps: a statistical background model to segment moving objects as foreground, followed by an analysis model to generate pedestrian candidates based on the movement of foreground objects and lastly a SVM classifier that verify the pedestrian candidates based on the shape features. © 2009 IEEE.
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