Contour Extraction And Tracking Of Moving Vehicles For Traffic Monitoring
نویسندگان
چکیده
A robust algorithm is proposed in this paper for contour extraction and tracking of moving vehicles. A snake model is modified, in which directional information is utilized to guide the snaxels’ behavior. Then an adaptive shape restriction is applied to govern the scope of the snake’s motion, and Kalman filter is employed to estimate spatio-temporal relationship between successive frames. Moreover, several refinements are suggested to compensate for the snake’s vulnerability to fake edges. All these steps contribute to a satisfying overall performance in contour extraction and tracking of moving vehicles for real traffic monitoring.
منابع مشابه
Moving Vehicle Tracking Using Disjoint View Multicameras
Multicamera vehicle tracking is a necessary part of any video-based intelligent transportation system for extracting different traffic parameters such as link travel times and origin/destination counts. In many applications, it is needed to locate traffic cameras disjoint from each other to cover a wide area. This paper presents a method for tracking moving vehicles in such camera networks. The...
متن کاملReal-Time Detection of Moving Vehicles
Computer vision-based traffic flow monitoring is of major importance for enforcing traffic management policies. Information such as the number of vehicles passing on a road per time unit, or vehicles' turning rates at intersections are exploited by traffic management policies to supervise traffic-light timings. Computer vision-based traffic flow monitoring requires extraction of moving vehicles...
متن کاملA Novel Method for Tracking Moving Objects using Block-Based Similarity
Extracting and tracking active objects are two major issues in surveillance and monitoring applications such as nuclear reactors, mine security, and traffic controllers. In this paper, a block-based similarity algorithm is proposed in order to detect and track objects in the successive frames. We define similarity and cost functions based on the features of the blocks, leading to less computati...
متن کاملObject Classification and Tracking in Video Surveillance
The design of a video surveillance system is directed on automatic identification of events of interest, especially on tracking and classification of moving vehicles or pedestrians. In case of any abnormal activities, an alert should be issued. Normally a video surveillance system combines three phases of data processing: moving object extraction, moving object recognition and tracking, and dec...
متن کاملApplying Computer Vision Techniques to Traffic Monitoring Tasks
Abs t rac t . This paper presents a method I for tracking and segmenting vehicles in a traffic scene. The approach is based on a frame to frame segmentation followed by a tracking process. As opposed to usual segmentation methods, our method feedbacks segmentation with tracking information for improving results. Several facilities are provided for traffic monitoring such as vehicles trajectorie...
متن کامل