Adaptive Algorithm For Object Tracking In Video Image

A method for solving the problem of stable tracking is presented, based on a universal approach to the construction of adaptive tracking algorithms, which includes three components: tracking, learning and detection (TLD). The problem of robust object tracking was solved. An algorithm has been developed for tracking the contour of an object, used as a tracking component in a complex algorithm that implements the described approach. The object's trajectory is tracked by a certain short-term tracking algorithm, which works parallel with the detector, allowing it to be re-initialized after a failure. The proposed tracking algorithm was implemented as a program in C++, which is part of the software developed for automatic tracking of objects in the video image. The experimental and comparison results of the TLD algorithm using the Lucas-Kanade tracking algorithm and the proposed algorithm are shown in this paper.