基于AdaBoost 行人检测优化算法的.pdf

31 10 Vol. 31 No. 10
第 卷第 ion Northeastern University Shenyang 110819 China.
（ ， ， ，
2. Zhejiang Key Laboratory of Automobile Safety Technology Hangzhou 311228 China
， ， ）
Aiming at the pedestrian detection and identification for vehicle aided safety driving system a research was conducted which
Abstract： ，
is focus on the problems of real- time and veracity affected by illumination for pedestrian detection algorithmic. The on line updating
pedestrian detection classifiers technology was used to detect and recognize the pedestrian which are in front of the vehicles. An improved
AdaBoost pedestrian detection optimum algorithmic was presented. According to positive and negative samples' error rate while training
pedestrian detection classifiers the weight of error recognizing rate was on line updated. It could reduce the classifier's series and the
，
calculation complexity further more guarantee the overall detection rates. The ability to adapt