Local distance study and sequencing queue-based visual target tracking method

A target tracking and distance learning technology, applied in the field of computer vision, can solve the problems of rough model target, classification surface deviation, loss of tracked target, etc., to achieve the effect of improving accuracy and stability, method robustness, and enhancing ability

Inactive Publication Date: 2010-07-14
INST OF AUTOMATION CHINESE ACAD OF SCI
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AI Technical Summary

Problems solved by technology

Because the discriminative method uses the classification surface to model the target and the background, and such a model is often too rough for the target,

Method used

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  • Local distance study and sequencing queue-based visual target tracking method
  • Local distance study and sequencing queue-based visual target tracking method
  • Local distance study and sequencing queue-based visual target tracking method

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Embodiment Construction

[0026] Various details involved in the technical solution of the present invention will be described in detail below in conjunction with the accompanying drawings. It should be pointed out that the described embodiments are only intended to facilitate the understanding of the present invention, rather than limiting it in any way.

[0027] Please refer to figure 1 , describe the specific implementation steps of the method of the present invention as follows.

[0028] In the following steps, t represents the frame number of a video file, for example, t=1 represents the first frame image, t=2 represents the second frame image, and so on. In the first frame of a video file, manually mark an initial target box X 1 , indicating the location of the tracked target in the first frame of the image, such as figure 2 The box in solid line is shown as the target box. From the initial target box X 1 Randomly select N target small image slices to form a target small image set P t F =...

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Abstract

The invention discloses a local distance study and sequencing queue-based visual target tracking method, which comprises: step 1, selecting a target and the adjacent background of the target in a first frame image by using a target frame and a background frame, randomly sampling in each frame to obtain two small image sheet sets representing the target and the local background of the target; studying the local distance metric function of each target small image sheet and establishing a sequencing queue of the function, and calculating the purity of the sequencing queue and establishing a target model; step 2, randomly sampling a next frame image to obtain a new small image sheet set; calculating the distances among each small image sheet in the target model and all new small image sheets, and establishing a sequencing queue; and calculating confidence coefficients of the new small image sheets according to the positions of the new small image sheets in each sequencing queue and establishing a confidence graph; step 3, determining the position of the target in a new frame image by using the confidence graph; step 4, updating the target small image sheet set and a background small image sheet set; and step 5, updating the target model, the local distance metric function and the purity, and returning to the step 2.

Description

technical field [0001] The invention belongs to the field of computer vision and relates to a sequence image target tracking method. Background technique [0002] Visual object tracking is a basic part of video analysis. It not only has broad application prospects in video surveillance, intelligent transportation, human-computer interaction, etc., but also plays an important role in the extraction and retrieval of advanced semantics such as object trajectory and behavior analysis in video sequences. significance. The scene of the video sequence is complex and changeable, and most of the tracked targets are in motion, which makes the background changeable. Accurate and stable tracking is of great help to the improvement of subsequent algorithm performance. [0003] An important class of target tracking algorithms based on target detection and classification is the current mainstream sequence image target tracking algorithm. This method mainly consists of the following thre...

Claims

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Application Information

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IPC IPC(8): G06T7/20
Inventor 唐明陈铎文
Owner INST OF AUTOMATION CHINESE ACAD OF SCI
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