Grid-Based Moving Object Detection and Tracking

To reduce the computing time of detection and tracking of moving object in video sequence, a grid-based processing scheme was designed. The grid computing technology was applied to deal with the frames of a video sequence in distributed-parallel manner. One or more adjacent frames of the video sequence treated at a time were regarded as a frame-unit, and the whole treatment of a frame-unit was considered as a job executed on the grid node machine. The number of jobs which were submitted to grid nodes, therefore, was equal to that of the frame-unit of the video sequence. A Condor-based grid test-bed was constructed to verify the feasibility of the proposed scheme, and a graphical user interface (GUI) program and several service modules were developed for it. The combination of the frame difference detection method and the template matching tracking method was implemented on the test-bed for a moving object detection and tracking in a moving background. Experiment results show that the scheme is feasible and able to improve the execution efficiency greatly.