Object Tracking Method Based on Part-Level Appearance Model

An appearance model, component-level technology, applied in the field of computer vision, can solve problems such as inability to obtain effective tracking results and no robust appearance model.

Active Publication Date: 2016-01-20
SOUTH CHINA AGRI UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Tracking in complex backgrounds and scenes with large changes in object appearance, without a robust appearance model, often cannot obtain effective tracking results

Method used

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  • Object Tracking Method Based on Part-Level Appearance Model
  • Object Tracking Method Based on Part-Level Appearance Model
  • Object Tracking Method Based on Part-Level Appearance Model

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Embodiment Construction

[0044] 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.

[0045] The schematic diagram of the execution steps of the method of the present invention is as attached figure 1 As shown, it specifically includes the following steps:

[0046] S1. Create a feature pool stage for modeling: simply track the first m frames, in this embodiment, m is 7; image and record the target area of ​​each frame, first, given the first frame image Frame 1 In the target area, including the center point and the size of the area, the target area of ​​the first frame image is used as a template, and the iterative method of simple matching is used to obtain the 2 ,...,Frame 7 Calculate the target area in ; Then, expand λ times around the target area, and λ is a constant. In this embodiment, λ is 1.5. In order to ensure that the expanded area is large enough, each sample should be c...

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Abstract

The invention discloses an object tracking method based on a component-level appearance model. The method is based on a middle-level visual clue component-level updated appearance model. According to the method, super pixel segmentation is performed on images, super pixels are used for describing a target component of a tracked object, by the utilization of information of the target component, an object characteristic pool is constructed, the appearance model of the object is established and updated, and the model can accurately express the moving object under the conditions of deformation, sheltering and the like. When the appearance model of the object is updated, components of new tracking frames replace part of component sets to be replaced in the characteristic pool, a characteristic complementary set of the target object component is established, the characteristic complementary set serves as component description information of the new tracking frames and is added into the characteristic pool, then the appearance model is established according to the new characteristic pool, and updating of the appearance model is achieved. Along with tracking of the object, information of the appearance model is updated, the information of the tracked object is concentrated, the appearance model is more comprehensive, and under the conditions of big changes, such as the serious sheltering and deformation, of appearance, the guidance tracking can achieve a better effect.

Description

technical field [0001] The present invention relates to the field of computer vision, and more specifically, to an object tracking method based on component-level appearance models. 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] At present...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/20
Inventor 王美华梁云刘福明
Owner SOUTH CHINA AGRI UNIV
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