Algorithm Research About Detection And Tracking Of Vehicle In Open Parking Lots

Along with the rapid development of economy, the amount of motor vehicles has a rapid growth in China. As a result, the difficulty of parking has perplexed many cities in recent years. The scientific management of open parking lots is very significant to reduce traffic jam and insure traffic safety. Video surveillance is effective technology means, in which moving vehicle auto-detecting and auto-tracking is the basic part.The thesis mainly discusses the detection of vehicle based on video. It involves in the following several topics, back ground update and extraction, moving vehicle detection, moving object tracking and moving vehicles segmentation.In first part of moving object detecting and retrieving,the paper propose a new algorithm of background extraction and updating. The interval pixel value belongs to in the video stream is calculated to extract background. The paper take advantage of edge detection method to realize background updating under the case that the current background image contains stagnant vehicle by analyzing area of continuous change. Testing results demonstrate that when the method is applied,the self-adaptive updating of background can be realized with a high accuracy, meanwhile it is simple to implement and suitable for real-time detection.For real-time tracking of moving target, this thesis present a method of tracking moving vehicle based on Kalman filtering, which accomplishes object tracking by feature extraction, motion estimation and object matching. Feature extraction involves describing the shape feature of present object such as the centriod and the size of its enclosing rectangle. Motion estimation is to predict the location of the tracked vehicle by means of Kalman filter in subsequent frames and ascertain the scope for searching the tracked object. Object matching is to establish one-to-one correspondence between moving objects over frames and the track of every moving object.The moving vehicles often are sheltered by each other, it causes the false detection in target matching process. To overcome the above problem, this paper first considers the width/height ratio and occupancy ratio to make false detection judgment. Then a new moving target segmentation algorithm based on corresponding points is presented.