Abstract
This paper proposes a method for estimating in real time the pedestrian number from the variable blocks and prediction residual signal generated by the H.264/AVC encoder. A previously reported method estimates the number of pedestrians by using statistical methods or clustering after generated in a separate process once features from video, it was unsuitable for real-time processing. The proposed method estimates the number of pedestrians using regression analysis predicted residual signal generated by H.264/AVC encoder, and correct the number of pedestrians using the variable blocks. It was confirmed that it is possible to estimate in real time by using the data set of PETS2009 used in human tracking and background subtraction normally, the proposed method is obtained and performance equivalent to that of the previously reported.