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Method for enhancing image tracking stability of pyramid LK optical flow algorithm

An image tracking and pyramid technology, applied in the field of image tracking stability enhancement of pyramid LK optical flow algorithm, can solve problems such as calculation error of tracking results and inability to ensure accurate tracking of feature points, etc.

Pending Publication Date: 2020-07-07
北京易讯理想科技有限公司
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AI Technical Summary

Problems solved by technology

The LK optical flow algorithm has good robustness for image tracking with noise. At the same time, the LK optical flow algorithm is affected by factors such as movement distance and environmental lighting changes during image tracking, and cannot guarantee that each feature point is accurately tracked. , feature points that are not accurately tracked will lead to calculation errors in tracking results

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  • Method for enhancing image tracking stability of pyramid LK optical flow algorithm

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Embodiment 1

[0018] The method for enhancing the image tracking stability of the pyramid LK optical flow algorithm in the embodiment of the present invention, such as figure 1 As shown, the following steps are included: S101, in the current frame image P1 of the image sequence to be tracked, determine the initial image area of ​​the target to be tracked; S102, extract the image feature points in the initial image area of ​​the target to be tracked, and determine the image feature points Set M; S103, track all image feature points in the image feature point set M based on the pyramid LK optical flow algorithm, and determine the image feature point set M in the next frame image P2 adjacent to the current frame image P1 The image feature points corresponding to each image feature point are obtained to obtain the image feature point set N; S104, based on the pyramid LK optical flow algorithm, perform reverse tracking on all image feature points in the image feature point set N, and determine in...

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Abstract

The invention provides a method for enhancing image tracking stability of a pyramid LK optical flow algorithm. Forward and reverse optical flow calculation is carried out on two adjacent frames of images in a to-be-tracked image frame sequence in sequence, distance calculation is carried out according to a reverse tracking result and the original image feature points, the image feature points withlarge errors are filtered, and only the image feature points with high tracking accuracy are reserved, so that the feature point tracking error caused by large-amplitude movement in the optical flowtracking process is solved, the tracking accuracy of the target main body in the to-be-tracked image sequence is effectively improved, and the purpose of optimizing the tracking stability is achieved.

Description

technical field [0001] The invention relates to the technical field of computer vision and augmented reality, in particular to a method for enhancing the image tracking stability of a pyramid LK optical flow algorithm. Background technique [0002] Optical flow is the description of the motion information of image brightness, specifically refers to the obvious movement formed between an object, surface, edge and background by an observer (such as eyes, cameras) at a viewing angle, and it evaluates two Warping between images. In computer graphics and imaging, the change of pixel brightness can be used to track the direction of light movement, so as to determine the direction of object movement, and then obtain the direction of camera movement. [0003] The LK optical flow (Lucas-Kanade optical flow) algorithm uses the change of pixels in the image sequence in the time domain by making the assumption of "invariant gray level" and "the same movement of pixels in a certain wind...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/246
CPCG06T7/246
Inventor 陈更史凌波
Owner 北京易讯理想科技有限公司
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