Moving Objects Detection, Tracking, Background Reconstruction , Minimax Similarity Function
Issue Date:
2009
Publisher:
Tạp chí Khoa học
Citation:
143-151
Abstract:
Moving objects detection and tracking in video stream are basic fundamental and
critical tasks in many computer vision applications. We have presented in this paper effectiveness
increase of algorithms for moving objects detection and tracking. For this, we use additive
minimax similarity function. Background reconstruction algorithm is developed. Moving and
tracking objects detection algorithms are modified on the basis of additive minimax similarity
function. Results of experiments are presented according to time expenses of the moving object
detection and tracking.
