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Published in:
2011 | OriginalPaper | Chapter
Real-Time People Detection in Videos Using Geometrical Features and Adaptive Boosting
Authors : Pablo Julian Pedrocca, Mohand Saïd Allili
Published in: Image Analysis and Recognition
Publisher: Springer Berlin Heidelberg
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In this paper, we propose a new approach for detecting people in video sequences based on geometrical features and AdaBoost learning. Unlike its predecessors, our approach uses features calculated directly from silhouettes produced by change detection algorithms. Moreover, feature analysis is done part by part for each silhouette, making our approach efficiently applicable for partially-occluded pedestrians and groups of people detection. Experiments on real-world videos showed us the performance of the proposed approach for real-time pedestrian detection.