关键词: 监控视频, 视频分析, 积分通道特征, Adaboost

Abstract: A problem has occured when the video analysis work is done because of the big data of the surveillance video, it is convenient to analyze the video if the positive face has found. Discriminant of the positive face uses the method based on integral channel features and Adaboost, in the training section, the Adaboost uses the extracted integral channel features to train the classifier, which is used to the rapid discriminant of the positive face of the face detection window. Experimental results show that this method can meet most surveillance video with good computing speed and accuracy.

Key words: surveillance video, video analysis, integral channel features, Adaboost