Active contour tracing method based on superpixel

Abstract

The invention discloses an active contour tracing method based on superpixel. The method comprises the following steps of carrying out the superpixel segmentation on a training image to obtain a training sample pool of a target and a background, adopting a measuring learning method to obtain a distance measuring projection matrix according to a training sample, establishing a judgment-type appearance model, carrying out the superpiexel segmentation on each frame of test image of a sequence image, obtaining a confidence diagram corresponding to the test image according to the established judgment-type appearance model, obtaining a speed field of the test image, substituting the speed field into an evolution equation of a level set method, and obtaining a contour trace result of the test image. Compared with the prior art, the contour evolution efficiency of each frame of test image can be improved, and the tracing accuracy and tracing efficiency of the sequence image can be improved.

Description

technical field [0001] The invention belongs to the technical field of computer vision, and more specifically relates to an active contour tracking method based on superpixels. Background technique [0002] The target tracking in the visual surveillance scene is to detect, locate and track the moving target by processing the video image sequence captured by the camera. Since the contour features can well describe the shape information of the target, and these shape information facilitates the understanding and recognition of the subsequent high-level behavior, and compared with the static camera, the active contour tracking method is more suitable for the detection and positioning of the moving camera. and track sports goals. Therefore, the active contour tracking method has gradually become the frontier and hot spot of current academic research in recent years. In the top international journals TPAMI, IJCV and conferences ICCV and CVPR in the field of computer vision and ...

AI Technical Summary

Problems solved by technology

The model is simple and easy to use, but there are a series of shortcomings: it is sensitive to the initialization of the contour, it needs to reparameterize the contour for self-intersection and overlap, and the model cannot handle topological changes and has an unstable numerical solution

[0007] It should be emphasized that although superpixel-based image description has been successfully applied in the field of object tracking, it is limited to traditional bounding box tracking. There are still many difficulties in how to introduce it into the framework of active contour tracking and establish a more effective appearance model. therefore remains a challenge

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