Pedestrian Detection Method Based on Adaboost Algorithm
Lisheng Jin · Jisuanji gongcheng · 2008
Adaboost algorithm is reliable and its precision is high. The article proposes a real-time pedestrian detection method based on the Adaboost algorithm. The expanded Haar-like characteristic is selected and calculated using integral map, the pedestrian detection cascaded classifiers with high accuracy are trained by Adaboost. Cascaded classifiers are loaded through VC to realize the real-time pedestrian detection. Experimental results indicate that the method is fast and reliable and meets the requirement of real-time system.