Research On Human Motion Tracking Based On Video

Visual analysis of human motion has been receiving increasing attention from researchers in the fields of image processing and computer vision during the past few years.It has a lot of applications in virtual reality,smart surveillance system,advanced user interface,motion analysis and video compressing,etc.This paper focuses on the technology of human motion tracking based on video, First,we make a summarization of the domestic and overseas status of the research in this field.On the basis of this,we analyse the technical difficulties of human motion tracking.As most of the existing model-based methods of human motion tracking perform not so good in some situation as they need mannual intervention, and also the precision of tracking is not so satisfying during the research of tracking of walking people because of the self-occlusion of legs,this paper proposes an algorithm of automatic detection and tracking of legs of the walking people based on monocular image sequences,in which we analyse the features of walking people,track the five joints of lower limbs,get various parameters,and then re-construct the walking process.The main research achievement is as follows:1) We propose an algorithm of markerless automatic extraction of leg skeleton.First we divide the video into continuous image sequences,after background subtraction,the satisfying human region could be extracted,then we get a single-connected region by converting the RGB image to binary image and median filtering.Afterwards,the contour of lower limbs in the frame with a widest BoundingBox is detected,using Sobel operator,to find the ankle joint of leg behind according to the features and rules of walking,then,the joint of knee of leg behind,hip,ankle of leg in front,knee of leg in front could be got in turn.So,model of leg skeleton is constructed.2) We complement the algorithm of tracking of human leg skeleton.After the automatic initialization of the model of leg skeleton,we find out the coordinates of each joint in each frame by motion modeling, pointing by circle interset,motion predection and retangular region matching according to its colour.So the motion of legs could be re-constructed.The experiment materials include two parts,one is the gait database downloaded from CASIA and the other are several videos we shoot ourselves.We achieve on automatic detection and tracking of leg of walking people,using the arithmetic proposed in this paper.The experiment results indicate that the precision of the tracking of leg skeleton is satisfying,using our algorithm.It gets rid of the restriction of mannual intervention,and also the problem of self-occlusion could be solved effectively. A conclusion of the whole text and...