The Object Localization in Video Sequences with Usage of the Background Image Estimation
The object localization algorithm for on-board optoelectronic tracking systems is considered, which combines advantages of the methods of template matching and dynamic changes extraction. There are two key features of the offered approach. The first is the taking into account of non-uniform background. The second is extraction and account in further analysis of images of dynamic objects that are similar to the object of the interest. Efficiency of the object localization algorithm is confirmed by results of the experimental researches done with usage of real video.