Target tracking method based on multi-feature cluster matching in dynamic environment

A dynamic environment and target tracking technology, applied in the tracking field, can solve problems such as tracking results have a large impact, tracking failure, target recognition, etc., and achieve the effects of enhancing discrimination, preventing wrong matching, and eliminating feature description

Inactive Publication Date: 2017-12-22
WUHAN INSTITUTE OF TECHNOLOGY
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AI Technical Summary

Problems solved by technology

The change between matching feature points and relative positions has a great influence on the tracking results, and the feature points in the background area will also interfere with the tracking results, and it is easy to be interfered by objects similar to the target in the background to cause target recognition and tracking. fail

Method used

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  • Target tracking method based on multi-feature cluster matching in dynamic environment
  • Target tracking method based on multi-feature cluster matching in dynamic environment
  • Target tracking method based on multi-feature cluster matching in dynamic environment

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Embodiment Construction

[0039] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

[0040] see figure 1 As shown, the target tracking method based on multi-feature clustering matching under the dynamic environment of the present invention comprises the following steps:

[0041] Step 1: Collect initial video frame information; first, collect the initial first frame video information picture from the camera as a priori picture.

[0042] Step 2: Gaussian low-pass filtering to process the video sequence image; using the motion detection of the mixed model, and using Gaussian low-pass filtering to smooth the image to process the input video frame sequence image.

[0043] Step 3: The three-frame / background difference method detection module detects foreground and background features; the method of extracting the outline of the foreground object using the adjacent three-frame difference method: firstly compare the adjacent two frame...

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Abstract

The invention discloses a target tracking method based on multi-feature cluster matching in a dynamic environment. According to the tracking method, a three-frame difference method and a background difference method are combined as an adaptive target detection method in a dynamic environment. An independent foreground detection module is designed for a tracking system. A target can be extracted to the maximum, and the noise resistance is strong. Matching tracking is completed by combining the method with a feature clustering method and eliminating mismatched feature points.

Description

technical field [0001] The invention relates to a tracking method, more specifically to a target tracking method based on multi-feature clustering matching in a dynamic environment. Background technique [0002] Moving target detection and tracking in a dynamic environment is a very active field of machine vision, an important branch of research, and an important factor in dynamic image analysis. Video image sequences of moving targets have more useful information than static images. The detection and extraction of moving targets is one of the difficulties in the field of segmenting video image sequences into target objects [1]. Image segmentation (that is, target segmentation and extraction ) is actually a division problem. According to specific division criteria, the pixels in the image are filtered and divided. The result of the division is usually to distinguish the background from the extract, or to highlight the extract, or to eliminate noise. By dividing the image At...

Claims

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Application Information

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IPC IPC(8): G06T7/246G06T7/11G06T7/136G06T7/194G06T5/00G06K9/62
CPCG06T7/11G06T7/136G06T7/194G06T7/246G06T7/251G06T2207/20024G06T2207/10016G06V10/757G06F18/23213G06T5/70
Inventor 鲁统伟李宁邓慧敏张彦铎李迅闵峰周华兵
Owner WUHAN INSTITUTE OF TECHNOLOGY
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