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Method for tracking moving target in complex scene

A technology for moving targets and complex scenes, applied in the field of moving target tracking

Inactive Publication Date: 2011-06-29
SHANGHAI UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0008] In view of this situation, the purpose of the present invention is to provide a method for tracking moving objects in complex scenes, which can better solve the problem of dynamic tracking of moving objects in complex scenes.

Method used

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  • Method for tracking moving target in complex scene
  • Method for tracking moving target in complex scene

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Embodiment Construction

[0049] In order to make the purpose, technical scheme and advantages of the present invention clearer, the following in conjunction with the accompanying drawings, the present invention is carried out embodiment:

[0050] figure 1 It is a flow chart of the target tracking method in the embodiment of the present invention. Such as figure 1 As shown, the steps of the process include the following steps:

[0051] 1. Video capture image video stream input: Receive the video image input from the camera, and receive the initial target coordinates and area designation information. In this example, a rectangular frame is used to represent the location coordinate information and area information of the target. Each feature point in this area is used as the basis of the follow-up tracking algorithm.

[0052] 2. Establish the H component background weighted histogram of the target area: perform color space conversion on the specified area, and convert the RGB space to the HSV space....

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Abstract

The invention relates to a method for tracking a moving target in a complex scene. The method comprises the following steps of: obtaining a statistical histogram by adopting a component H background weighting method in an initially designated image area; creating a colour updating probability distribution graph with an adaptive background by utilizing a Bayes formula for each image of a video stream in the tracking process, updating target colour probability in a search region in real time, iterating the adaptive background updating colour probability distribution graph to obtain a position of the center of mass by utilizing a Camshift algorithm; and carrying out motion prediction by adopting a greedy prediction method in the tracking process, and continuously repeating the tracking step. By applying the method in the invention, the problem that the tracking on the moving target is not ideal enough in the complex scene can be solved, and the accuracy and the robustness are better.

Description

technical field [0001] The invention relates to an object tracking method in the field of image processing, in particular to a moving object tracking method in complex scenes. Background technique [0002] The research and application of target tracking technology is an important branch of computer vision, which is widely used in missile guidance, traffic intersection monitoring, aerospace, security monitoring, sports competition and other fields. The main task of target tracking is to extract feature information from the video stream, including information such as position, shape size, outline or color, and complete the process of target tracking based on this information. [0003] Currently commonly used moving target tracking methods are mainly divided into three categories: methods based on motion analysis, methods based on image feature matching, and methods based on color feature distribution. [0004] Methods based on motion analysis: such as inter-frame difference m...

Claims

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Application Information

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IPC IPC(8): G06T7/20
Inventor 汪东谢少荣李恒宇缪金松郭其明徐元玉李超
Owner SHANGHAI UNIV
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