Rigid body target tracking method based on feature and region collaborative matching

A target tracking and feature matching technology, applied in the field of computer vision, can solve the problems of local feature matching interference, inability to adapt to drastic changes in the scene, lack of self-adaptation, etc., to maintain self-adaptability, improve robustness and stability sexual effect

Inactive Publication Date: 2018-01-30
NAT COMP NETWORK & INFORMATION SECURITY MANAGEMENT CENT
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Problems solved by technology

[0009] In the video, one or more changes such as illumination, occlusion, viewing angle, affine, etc. often occur in the scene, which seriously interferes with the matching of local features.
The existing technology

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  • Rigid body target tracking method based on feature and region collaborative matching
  • Rigid body target tracking method based on feature and region collaborative matching
  • Rigid body target tracking method based on feature and region collaborative matching

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[0032] The present invention will be described in further detail below through specific embodiments and accompanying drawings.

[0033] The invention proposes a new rigid body target tracking scheme, and establishes a connection according to the target change between the initial frame and the current frame, and fundamentally overcomes the drift problem. Since the internal structure of the rigid body has motion consistency, this scheme uses SURF feature matching to determine the target area and obtain preliminary motion parameters; and then introduces a region-based matching scheme to deal with more severe target changes and ensure SURF features that can best adapt to current target changes. and its surrounding specific areas are fully used to achieve refined matching. After completing the tracking of the current frame, the SURF feature and its surrounding specific area are updated online to improve the adaptability of subsequent tracking. Ultimately, the tracking remains adap...

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Abstract

The invention relates to a rigid body target tracking method based on feature and region collaborative matching. The method comprises the steps of 1) selecting a target area in an initial image, and detecting SURF features in the target area; 2) constructing an invariance area with each SURF feature point as a center in the target area; 3 ) extracting the SURF features of a current image when thecurrent image arrives, and forming matching point pairs by carrying out cooperative matching on the current image and the initial image based on the SURF feature and the invariance region; 4 ) calculating to obtain motion parameters according to the obtained matching point pairs, so as to determine the target area of the current image and realize target tracking. The repeatability rule of SURF features under the complex change is studied, the motion parameters are solved through a scheme that the SURF features and the regional templates are matched in a collaborative mode, accurate descriptionand matching can be achieved on the local features of the target region, and the robustness and the stability of the target tracking effect are guaranteed.

Description

technical field [0001] The invention belongs to the technical field of computer vision, and in particular relates to a rigid object tracking method based on feature and region collaborative matching. Background technique [0002] The movement of any point on the surface of a rigid target can represent the movement of the whole, which makes it possible to use the features in the target area to describe the movement of the target. Existing rigid-body target tracking methods are dedicated to extracting some invariant features in the target region of the reference image, and quantifying and describing the extracted features, such as color features, texture features, and optical flow features. Local features refer to the invariant, reproducible, and specific features detected in the image area, which can resist complex changes such as occlusion, scale, and rotation to a certain extent, and provide quantitative descriptions of features. At present, compared with other features, l...

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Application Information

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IPC IPC(8): G06K9/00G06K9/32G06K9/46
Inventor 苗权吴昊刘丙双涂波刘鑫沛康春建羊晋李明哲计哲李锐光程光戴帅夫张洛什尚秋里
Owner NAT COMP NETWORK & INFORMATION SECURITY MANAGEMENT CENT
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