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Target automatically recognizing and tracking method based on affine invariant point and optical flow calculation

An affine invariant, target recognition technology, applied in the field of automatic target recognition and tracking based on affine invariant points and optical flow calculation, can solve the problems of knowledge change, substitution and poor compatibility, etc. The effect of reduced sensitivity, small amount of calculation, and high matching accuracy

Inactive Publication Date: 2010-07-07
NANJING UNIV OF SCI & TECH
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Problems solved by technology

The top-down knowledge-based target recognition method for specific types of targets in the image has the disadvantages of poor substitution and compatibility, and the recognition target changes, and the knowledge needs to change accordingly.

Method used

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  • Target automatically recognizing and tracking method based on affine invariant point and optical flow calculation
  • Target automatically recognizing and tracking method based on affine invariant point and optical flow calculation
  • Target automatically recognizing and tracking method based on affine invariant point and optical flow calculation

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Embodiment Construction

[0014] The specific content of the present invention will be further described below in conjunction with the accompanying drawings.

[0015] The invention discloses a method for automatic target recognition and tracking based on affine invariant points and optical flow calculation. The method includes the following steps:

[0016] The first step, target recognition: first, perform image preprocessing on the target image and the first frame of the video, and extract affine invariant feature points, then perform feature point matching, and eliminate incorrectly matched points. When the number reaches a certain amount and an affine transformation matrix can be generated, it is confirmed that the target recognition is successful. If the target recognition is unsuccessful, the next frame of the video is sequentially matched with the target image until the target recognition is successful;

[0017] The second step, target tracking: use the affine invariant points collected in the c...

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Abstract

The invention discloses a target automatically recognizing and tracking method based on affine invariant points and optical flow calculation, which comprises the following steps: firstly, carrying out image pretreatment on a target image and video frames and extracting affine invariant feature points; then, carrying out feature point matching, eliminating mismatching points; determining the target recognition success when the feature point matching pairs reach certain number and affine conversion matrixes can be generated; then, utilizing the affine invariant points collected in the former step for feature optical flow calculation to realize the real-time target tracking; and immediately returning to the first step for carrying out the target recognition again if the tracking of middle targets fails. The feature point operator used by the invention belongs to an image local feature description operator which is based on the metric space and maintains the unchanged image zooming and rotation or even affine conversion. In addition, the adopted optical flow calculation method has the advantages of small calculation amount and high accuracy, and can realize the real-time tracking. The invention is widely applied to the fields of video monitoring, image searching, computer aided driving systems, robots and the like.

Description

technical field [0001] The invention relates to a method in the technical field of image processing, in particular to an automatic target recognition and tracking method based on affine invariant points and optical flow calculation. Background technique [0002] Target recognition and tracking technology is widely used in various systems, such as video surveillance systems, image search systems, medical image systems, computer-assisted driving systems, robots, smart rooms, etc. Real-time and stable identification and tracking of moving targets is a very difficult task, because image noise, blur, and illumination changes brought about by the increasingly complex external environment have brought great difficulties to target recognition. At the same time, tracking The attitude and scale of the target will change at any time during the process, which will affect the stability of the recognition and tracking algorithms. [0003] The main task of target recognition is to extract...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06T7/20
Inventor 戴跃伟曹骝项文波茅耀斌
Owner NANJING UNIV OF SCI & TECH
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