As for video sequences,Codebook background modeling algorithm can detect moving objects,but cannot recognize pedestrians. Meanwhile,most pedestrians classifiers are based on support vector machine（ SVM）training has to traverse through the whole image,by sliding window to detect pedestrians. To speed up pedestrian detection process,algorithm of traditional pedestrian classification device fused in Codebook background modeling algorithm is proposed provide candidate regionals by background modeling algorithm for pedestrian detection reduce the search range and error rate of the pedestrian. According to features of pedestrians,temporary block model is built to regularly update into background model,which solve the problem that Codebook background modeling algorithm cannot suit the illumination abrupt variation. Experimental results demonstrate that the proposed algorithm can deal with the interference caused by sudden light variation,it can achieve the real-time pedestrian detection in video.
Transducer and Microsystem Technology