Video Object Motion Analysis And Face Detection Test System

Face detection and recognition is the technical foundation of many object-based video applications, such as object-based encoding, decoding and interaction, intelligent human-machine interface, and computer vision. In the videophone, conference call, dynamic monitor and human identification, there are more and more applications of human video object. It is worth studying location and analysis of head in theory and application. Our paper studies the estimation and analyses of partial motion in detail and realize location and extraction of head.This thesis studies technologies of block-based motion estimation and compensation in MPEQ and gives a method, which is based on motion vector statistics, to calculate motion vector of whole object. According to minimum mean absolute difference criteria (MAD), our paper uses three-step search algorithm to get the block vectors in two sequential images. Main direction of object motion could be obtained by classifying and the average vector on main direction is the vector of whole object.This thesis starts with an introduction of the motion analysis. Then the processing methods of inter-frame information in video are presented in detail. The paper discusses video processing technical based on difference. After processing of morphologic operations: image eroding and dilating, we get the binary image to every difference image of video. By the reason of characteristic on statistics of images, we gave a face searching and locating algorithm based on the second derivatives operator. We obtain the position of face by calculating the change of projection curve using the second operator. This algorithm reduces computer cost and improves search speed.The input digital video is from grayscale camera and video capture card. We design video capture software based on drivers of flyvideo EZ capture card. Video can be captured and saved by the software. This program gives interface for other function.The system can capture and save video. After processing, motion vector can be calculated by means of motion estimate and analysis, and then we can search and locate face.