Research On Technologies Of Moving Human Object Tracking And Behavior Analysis In Video

The technologies on moving human tracking and behavior analysis are the basis that a system monitors human object to be automated and intellectualized. Some relating technologies have been widely used in the military field and competitive sports field, however, only few ones are used in the common civil monitoring field in which the systems lack fund but have broad prospects.The author pays major attention to two aspects technologies including moving human body tracking and their behaviors analyzing, the latter technology is based on the former one. The most important work among the research in the dissertation is to propose methods to locate the moving human body in the video accurately and eliminate the drop shadow of moving human body in order to improve the quality of location and tracking.Firstly, much research work relating to image capture and image pretreatment will be done in the paper. By the comprehensive comparison of DirectShow and VFW technology, a highly efficient method of data collection is adopted. According to the analyzing aimed at gray-scale transformation, filtering and other image enhancement technologies, the solutions to noise and image blurring problem caused by equipment and environment are determined. Secondly, by the research on moving target detection techniques, against the shortcomings of the background difference method, a method improving location accuracy is put forward to eliminate drop shadow. Benefitting from the analysis of threshold segmentation, an algorithm determining the time of refreshing the threshold is designed to reduce the calculating complexity caused by updating the threshold value frequently. In addition, by analyzing the tracking method on moving target, a tracking algorithm is proposed, which can accurately locate moving human targets. The method's advantages in contrast to the traditional centroid-oriented positioning methods are simple and precise when used in positioning characteristics. Finally, the research on the object behavior analysis and identification are implemented based on the data obtained from moving human object tracking algorithm. And a behavior analysis and recognition system is accomplished by using technologies proposed in the dissertation, which should identify risk behaviors and automatic alarm if some behaviors have been found, such as entering the preset area, over-speed walking etc.