Visual target tracking method based on credibility combination map model

Abstract

The invention relates to the computer video processing technology, in particular to a visual target tracking method based on a credibility combination map model. The method comprises the following steps that (1) a training database is established; (2) features of the training database are extracted, and a two-dimensional disjunction unit classifier and a two-dimensional disjunction classifier are trained; (3) a credibility combination map of first-frame target objects is established; (4) features of a current-frame background frame are extracted; (5) a credibility graph is obtained; (6) a target is positioned, and a plurality of candidate windows are obtained; (7) a credibility combination map of the candidate windows is matched with the saved previous-frame credibility combination map, and optimal target location information is obtained; (8) an updating sample is obtained by means of combination map matching, and the classifiers, the credibility map model, the state of a tracker and the like are updated every five frames; (9) the step (4), the step (5), the step (6), the step (7) and the step (8) are repeated till a video is over. By means of the visual target tracking method based on the credibility combination map model, the problem of target drifting can be effectively restrained in the computer visual target tracking process, and therefore the stability of the tracker is improved.

Description

technical field [0001] The invention relates to computer video processing technology, in particular to a visual target tracking method based on a reliability combined map model. Background technique [0002] Visual tracking technology is the most industrialized part in the field of computer vision, and is widely used in industry (for example, to calibrate and position materials on an automated production line), military (for example, in the radar field, it is necessary to estimate the position, speed and other motion parameters of the target. ), civil (such as visual tracking in traffic systems can be used to control traffic flow) and other industries. Specific applications include video security surveillance, intelligent robots, behavior analysis, human-computer interaction, etc. [0003] Visual tracking refers to tracking some points or objects of interest in the video, obtaining the position and trajectory of the target, which can establish the basis for subsequent proce...

AI Technical Summary

Problems solved by technology

If the target is occluded, part of the information of the target is covered and cannot be represented, that is, the target is represented by some incomplete information, so the tracker will easily drift to other objects or background

In addition, there are many other factors that limit the performance of the tracker, such as lighting changes, camera movement, etc.

The current tracking algorithm cannot guarantee the real-time tracking effect of target occlusion and illumination changes in complex backgrounds. One of the biggest bottlenecks is the drift of visual tracking.

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