Anti-shielding self-adaptive target tracking method and system

Abstract

The invention discloses an anti-shielding self-adaptive target tracking method and system, a scale correlation filter is trained while a position correlation filter is trained, scale self-adaptive transformation can be realized, if the transformation does not exist, the size of a target frame is not changed in the training process and is the same as the size of a rectangular frame which is determined manually at the beginning, and the target frame is not changed in the training process. However, after scale transformation, the size of the target frame can be automatically changed along with the distance of the target, the target frame becomes smaller when the target moves farther from the camera, and the target frame becomes larger when the target moves closer, so that the accuracy and robustness of the whole algorithm are improved. According to the target tracking method, an adaptive model updating strategy is adopted, and whether the target is shielded or lost or not is detected by calculating a PSR value, so that a search area is expanded, the problem that tracking cannot be continued once the target is shielded or lost due to target movement and the like in a traditional target tracking method is solved, and the target tracking efficiency is improved. And the continuity and reliability of target tracking are improved.

Description

technical field [0001] The invention relates to the technical field of computer vision target tracking, in particular to an adaptive target tracking method and system that can resist occlusion. Background technique [0002] In recent years, the field of computer vision has developed vigorously and has become more and more widely used in all walks of life. It obtains the three-dimensional information of the corresponding scene by processing the acquired pictures or videos, so that the computer can perceive the surrounding environment. As the core research content in the field of computer vision, object tracking is a cutting-edge technology that integrates multidisciplinary knowledge. In a nutshell, object tracking is to find the location of an object of interest in each frame of a video at high speed and efficiently. It can detect, extract, identify, and track moving objects in videos, and obtain a series of parameters of moving objects, such as position and speed, so as to...

AI Technical Summary

Problems solved by technology

If the target appears near the boundary but has not yet gone out of the boundary, some pixels of the target will be filtered out due to the addition of a cosine window, so there is no guarantee that the response value of the target's position is the global maximum

If part of the target has moved out of the search box, and a cosine window is added, it is likely to remove the only remaining target information, resulting in detection failure

Also causes tracking to fail if the entire target leaves the search box area

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