Extraction from Surveillance Video Based on Face Detection
A fast method for locating face-contained subsequences from surveillance video was proposed in this text In -the algorithm, only half of the video frames were chosen to be processed by dividing them. First, the video was divided into several sections according to time; then, the video frames were filtered by random algorithm for the second time; third, detect faces from the filtered frames using Adaboost algorithm; At last, it returned a flag frame sequence according to each detection result. The experimental results have impressively indicated the effectiveness of the method.
Face Detection Video Retrieval Random algorithm Hoar Features Adaboost
Yin Jian Liu Xiaohe
School of Mechanical, Electrical& Information Engineering Shandong University at Weihai Weihai, China
国际会议
重庆
英文
1637-1640
2011-08-20（万方平台首次上网日期，不代表论文的发表时间）