Vision-based Pedestrian Detection Using Haar-like Features
نویسندگان
چکیده
This paper describes a vision-based pedestrian detection system for robots, and autonomous vehicles. For that purpose the Haar-like features were used to discriminate pedestrians. Those features were used as input in a learning algorithm, based on AdaBoost, which selects a small number of critical visual features from a larger set and yields an extremely efficient classifier. The proposed system can run in real-time applications achieving good detection rates.
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تاریخ انتشار 2007