A multi-cue visual tracking method based on adaptive sub-block selection

Abstract

The invention belongs to the visual tracking field and relates to an adaptive sub-block screening-based multi-clue visual tracking method. The method comprises the following steps that: (1) saliency detection is performed on a target region, uniform block division is used in combination, so that candidate sub-blocks can be obtained; (2) multi-scale sampling is performed on the candidate sub-blocks, sub-blocks with large frequency-domain response and the corresponding scales of the sub-blocks are determined, and a candidate sub-block set is updated; (3) motion estimation is performed on the sub-blocks in the candidate sub-block set, and the current location of a tracking target is determined through the multi-clue fusion of the sub-blocks; and (4) a Gaussian kernel corresponding to the location of each sub-block is updated through the current location of the target, and sub-blocks which do not satisfy requirements are re-initialized. According to the adaptive sub-block screening-based multi-clue visual tracking method of the invention adopted, the interference of background can be removed, the visual constraints of middle-level features and the priori constraints of high-level languages are fully utilized, so that the locating of the target is more accurate. The adaptive sub-block screening-based multi-clue visual tracking method has the advantages of simple steps and small computation amount, and is suitable for performing visual target tracking under a blocking condition.

Description

Technical field [0001] The present invention belongs to the field of visual tracking, and more specifically, relates to a multi-cue visual tracking method based on adaptive sub-block filtering. Background technique [0002] In actual application scenarios, the appearance of the tracked object is often partially changed due to occlusion and other reasons, and the appearance model of the target needs to reflect the change of the target appearance. For this reason, local features (such as sub-blocks) are usually used when modeling the target appearance. [0003] A Chinese invention patent "A New Method of Video Tracking Based on Adaptive Blocking" discloses an adaptive block method that uses the content information of the video and image to automatically adjust the block according to the characteristics of the target area to be tracked. Strategies to improve the effect of video tracking. In the Chinese invention patent "A new video tracking method based on block strategy", a sub-blo...

AI Technical Summary

Problems solved by technology

In these sub-blocks, there is a large amount of information redundancy, and background information that interferes with the tracking results will be introduced, which will cause drift problems in visual tracking and affect the accuracy of tracking results.

[0005] Due to the above-mentioned defects and deficiencies, further improvements and improvements are urgently needed in this field, and a visual target tracking method is designed to overcome the defects of the prior art in the prior art for tracking target areas in a fixed manner, so as to meet The need for target tracking in complex tracking scenarios

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