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An Online Target Tracking Method Combined with Feature Point Matching

A feature point matching and target tracking technology, applied in the field of online target tracking and target tracking, to improve the tracking robustness, improve the detector speed, and improve the ability to resist background clutter.

Active Publication Date: 2019-01-29
HUAQIAO UNIVERSITY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, domestic and foreign tracking in this area has achieved great research results, but there are still many problems in practical applications, so there is a lot of room for improvement

Method used

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  • An Online Target Tracking Method Combined with Feature Point Matching
  • An Online Target Tracking Method Combined with Feature Point Matching
  • An Online Target Tracking Method Combined with Feature Point Matching

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Embodiment Construction

[0026] The present invention will be further described below through specific embodiments.

[0027] Through investigation and research, it is found that the TLD target tracking algorithm has shortcomings such as tracking drift and being easily interfered by complex backgrounds. The invention proposes an online target tracking method combined with feature point matching. Firstly, the salient area of ​​the tracked target is calculated to obtain the best target tracking area; then, the method of combining median flow tracking and feature point matching is used to estimate the scale change of the target, and the hierarchical clustering method is used to eliminate the interference points to obtain the final target. Finally, the scale information estimated by the tracker is fed back to the detector, and the speed of the detector is accelerated by reducing the detection scale space. Robust to object deformation, planar rotation, and fast motion.

[0028] The specific process is as ...

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Abstract

The invention discloses an online target tracking method combining with feature point matching, and the method comprises the steps: firstly calculating a salient region of a tracked region, thereby obtaining an optimal target tracking region; secondly employing a median flow method for tracking, employing a method combining with the feature point matching for estimating the scale change of a target, and deleting interference points through employing a layer clustering method, and obtaining a final position of the target; finally feeding back the scale information estimated by a tracker to a detector, and increasing the speed of the detector through reducing the size of a detection scale space. The method employs a target tracking method based on TLD, carries out the target tracking through employing the significance of the tracked target, and combines with an optical flow method and the feature point matching method so as to improve the target tracking robustness of a tracking algorithm in different scenes. The method is simple and easy, and is high in implementation speed.

Description

technical field [0001] The invention relates to the field of computer vision, and relates to an online target tracking method combined with feature point matching, which can be used for target tracking in different scenarios. Background technique [0002] Target tracking is one of the important research topics in the field of computer vision. It is a multidisciplinary subject involving image analysis, pattern recognition, automatic control, imaging, etc. It is also the basis for subsequent work such as target recognition and behavior recognition. Through the The image sequence is analyzed by algorithm, and the spatial position parameters of the target of interest are marked, such as the coordinate position, size, angle, etc. of the target, and the position of the target of interest in the video frame is correlated to obtain the trajectory of the target. After decades of development, video target tracking has been widely used in intelligent video surveillance, human-computer ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/20
CPCG06T2207/20004G06T2207/20021G06T2207/20032
Inventor 戴声奎刘兴云高剑萍
Owner HUAQIAO UNIVERSITY
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