Weak structure perception visual target tracking method capable of fusing with context detection

Abstract

The invention discloses a weak structure perception visual target tracking method capable of fusing with context detection. During initialization, a weak structure relationship between a target and each component of surrounding environment is perceived to establish a model. Model maintenance corresponds to the target and two surrounding component sets, and a feature point and a feature descriptor are used for expressing the appearances of the components. In a tracking process, the component sets are combined with a movement model to generate a potential target center, then, the potential target center is clustered to reject noise to obtain an accurate target position, and a target size is updated. Under a weak structure tracking frame, a bottom-up way and a top-down way are introduced to carry out target context detection in order to enhance the prediction of a component position. Bottom-up detection provides consistent tracking information for each component through the estimation of the local movement of a pixel level. Top-down detection constructs a superpixel nuclear model to learn a difference between the target and a background on a level of individual, and guidance information is provided for target positioning and model update.

Description

technical field [0001] The invention belongs to the technical field of computer vision, and relates to a target tracking method, more specifically, relates to a weak structure-aware visual target tracking method integrated with context detection. Background technique [0002] Visual target tracking refers to using a continuous video image sequence as input, and for a specific target in it, to determine the position or image area of ​​the target in consecutive frames. As an important research in the field of computer vision, object tracking plays an important role in many intelligent vision systems. Its typical applications include intelligent monitoring, automatic driving and human-computer interaction. [0003] In recent years, many researchers have done a lot of research on visual object tracking, made great progress, and overcome many difficulties in some specific application fields. However, for visual target tracking, it is still a difficult challenge to accurately tr...

AI Technical Summary

Problems solved by technology

However, for visual target tracking, in some complex situations, such as when the target has a large shape change due to fast movement, shape deformation, occlusion, and surrounding environment, it is still a difficult challenge to accurately track the target

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