Follow Tracks Of The Plane Mechanism Movement Base On Digital Image Process

Mechanism movement status has the vital significance to analysis entire mechanical system revolution. All kinds of traditional methods about displacement detection to dynamic object have their limitation, it is hard to find fixed reference point. So it is very necessary to develop a kind long distance and untouched detection system which can record date by itself and deal with a series of date in time. On the base of computer technology high speed development , The image processing technology also obtain great progress , The computer high speed operational capability provide the technical guarantee for digital image process. By the aid of computer, detective the plane mechanism movement status with digital image processing method. The measurement result may the directly reflect this mechanical system working condition.Through out locate, identify and track the image sequence which obtained by digital camera, and then understanding the behavior of moving objects. The actual scenes are usually complex and changeable. So detecting and tracking of moving objects is the key to analysis mechanism motivation. Base on the visual information of the time and space relationships, moving objects detection and tracking methods are studied in this thesis.Another major work of this thesis is to track moving objeets' trajectory in image sequences obtained from the proposed detection algorithm .An objects tracking model based on Kalman filters is presented .The motion estimation based on Kalman filters can reduce noise disturbance and shrink the search range of characteristic and improved tracking efficiency. In the proeess of objects matehing, location and shape of objects are considered together, a matching function integrates the centroid and area of object is introduced to match objects between two consecutive image sequences. In addition, the emendation between the detection results and the tracking results improves stability of the whole tracking system better. Results of experiments show that the proposed tracking model based on Kalman filter relatively conforms to practical conditions and the tracking algorithm can reliably forceast and track the motion trajectories of objects. Compared with the general object velocity measurement method, the plane link mechanism movement analysis based on digital image processing has real-time character, is one kind of long-distance , and non-contact measuring technique, also can available in quite bad working conditions, so it can be obtained widespread development space.