An improved real-time detection and localization scheme for pedestrian based on information fusion

作者：Li, FuLiang; You, Feng^*; Zhang, Ronghui; Tao, Liu; Pei, Yulong; Xu, Jianmin

来源：International Journal of Applied Mathematics and Statistics, 2013, 51(22): 99-107.

• AdaBoost algorithm
• Cascade classifiers
• Driver assistance system
• Haar-like features
• Pedestrian detection

Computer vision based pedestrian detection has become one of the hottest topics in the domain of intelligent vehicle because of its potential applications in driver assistance systems. In this paper, we put forward an improved real-time detection and Localization method for pedestrian. We select Haar-like features, sums up nine categories rectangle features which highlight the different characteristics of pedestrian appearance, and use integral image to speed up the calculation for rectangular features. Meanwhile, we introduce an optimization method of updating weight into the traditional AdaBoost algorithm, design a cascade classifier, and obtain a better pedestrian classifier with accurate recognition by faster training, which realize the realtime regional rapid detection of pedestrians. Experimental results show that the improved training process has short training time, high accuracy, and strong real-time performance.

• 出版日期2013
• 单位华南理工大学