Tracking method based on integral and partial recognition of object

A holistic and local technology, applied in the field of computer vision, which can solve the problems of only identifying the target object, offset, etc.

Active Publication Date: 2013-11-27
SOUTH CHINA AGRI UNIV
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  • Description
  • Claims
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AI Technical Summary

Problems solved by technology

The recognition method based on local information has a good tracking effect in the case of partial occlusion or non-rigid changes in the target object. However, the lack of overall recognition of the target object may easily lead to deviation and only recognize part of the target object.

Method used

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  • Tracking method based on integral and partial recognition of object
  • Tracking method based on integral and partial recognition of object
  • Tracking method based on integral and partial recognition of object

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Embodiment Construction

[0062] The present invention will be further described below in conjunction with the accompanying drawings, but the embodiments of the present invention are not limited thereto.

[0063] The schematic diagram of the execution steps of the inventive method is attached figure 1 As shown, it specifically includes the following steps:

[0064] (1) Simple tracking of the first m (in this implementation, m is taken as 7) frame image stage: first, the first frame image Frame is artificially given 1 In the target area (including the center point and area size), the target area of ​​​​the first frame image is used as a template; then, random sampling is performed around the target area of ​​​​the previous frame as the candidate target area of ​​​​the current frame; finally, the candidate of the new frame is calculated The target area and the template are similarly measured, and the target area with the highest similarity is the target area of ​​the new frame, so iteratively calculates...

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Abstract

The invention discloses a tracking method based on integral and partial recognition of an object. As for recognition based on partial information, superpixel division is conducted on all candidate areas, different weight values are given to superpixels according to characteristics of partial representation of the object, weighting similarity measurement is put forward, and the confidence coefficients of all the candidate target areas are calculated. As for recognition based on integrality, object property measurement is introduced into a target object detection portion of a current frame, colors, edges and the superpixels are chosen to serve as three types of clues of object property measurement, marking rules of the clues are provided respectively, the confidence coefficients are calculated by combining the three types of clues and recognition based on the partial information so as to mark all the candidate target areas in an extension area, and a target area is determined according to marks. According to the tracing method, the target object in a tracking scene dynamically changing can be described preferably, the target area is converged in the target object better by combing object property measurement, the probability of a background existing in the target are is reduced, and the tracking accuracy rate and tracking stability are improved.

Description

technical field [0001] The present invention relates to the field of computer vision, and more specifically, relates to a tracking method based on object integrity and locality recognition. Background technique [0002] Object tracking is an important research content in the field of computer vision, which has attracted widespread attention in recent years and has become a current research hotspot. This technology has broad application prospects and plays an important role in many fields, such as security monitoring, human-computer interaction, medical diagnosis and vehicle flow monitoring and so on. Although people have proposed a large number of object tracking methods, these methods often cannot provide ideal tracking results and cannot track the target object when the illumination and object shape change greatly or there is serious occlusion. Therefore, proposing an effective object tracking method has important application value and practical significance. [0003] Cu...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00
Inventor 梁云王美华刘福明
Owner SOUTH CHINA AGRI UNIV
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