New feature adaptive high precision video tracking algorithm

A new approach of tracking objects in image sequences is proposed, in which the constant changes of the target's size can be precisely described. For each incoming frame, a probability distribution image of the target is created according to the best automatically chosen feature which is a linear combination of RGB components. In the generated probability distribution image the target's area turns into a blob. The scale of this blob can be determined based on the local maxima of differential scale-space filters. The QP_TR trust region algorithm is employed to search for the local maxima of multi-scale normalized Laplacian filter of the probability distribution image to locate the target as well as determine its scale. In the presented tracking examples, the new method is capable of describing the target more accurately and thus achieves much better tracking precision.EI0112255-22583