BLOCKS-BASED ALGORITHMS COMBINATION FOR OPTICAL FLOW CALCULATION FOR MOVING OBJECTS DETECTION AND TRACKING IN VIDEO SEQUENCES
The combined algorithm moving objects detection and tracking in video sequences with use of blocks-based approach for motion estimation is considered. For time acceleration we use multilevel successive elimination algorithm and diamond search for an interim maps of motion vector construction. We use multiplicative minimax similarity function for accuracy improvement of object localization at motion vector analysis. Since interim map not necessarily leads to optimal motion vectors, we use an additional post processing for motion field based on candidate vectors. We apply minimax similarity function for updating algorithm of moving object tracking. In paper results of experiments are presented according to time expenses of the moving object detection and tracking.