A Mean Shift Tracking Method Resisting Interference from Similar Colors and Illumination Changes

A technology of illumination change and color, applied in the field of computer vision, can solve the problems of distinguishing targets, not being able to distinguish, affecting the stability of algorithm tracking, etc.

Inactive Publication Date: 2016-03-30
CIVIL AVIATION UNIV OF CHINA
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Problems solved by technology

The disadvantage of the color-saliency target model extracted by Tavakoli et al. is that each saliency level of the LSN operator may contain a variety of different local texture structures and cannot distinguish these different local texture structures. Distinguish targets in similar scenes, and the RGB color model is greatly affected by changes in light intensity, which affects the tracking stability of the algorithm under light changes such as outdoors

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  • A Mean Shift Tracking Method Resisting Interference from Similar Colors and Illumination Changes
  • A Mean Shift Tracking Method Resisting Interference from Similar Colors and Illumination Changes
  • A Mean Shift Tracking Method Resisting Interference from Similar Colors and Illumination Changes

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Embodiment Construction

[0028] The MeanShift tracking method for resisting interference from similar colors and illumination changes provided by the present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0029] like figure 1 As shown, the MeanShift tracking method of anti-similar color and illumination change interference provided by the present invention comprises the following steps carried out in order:

[0030] 1) Read in the current frame of the video, select the interested target to be tracked through human-computer interaction, initialize the center coordinates, scale and other parameters of the target to be tracked, and extract the local saliency texture operator for the target pixel—local Three-valued number (LTN), this operator is based on the consideration that each significant degree of the LSN operator may contain a variety of different local texture structures, which is not conducive to distinguishing objects with si...

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Abstract

The invention discloses a Mean Shift tracking method for resisting similar color and illumination variation interference. Starting with an object representing method, relations between an object pixel value and eight neighborhood pixel gray level values are fully used for expanding a local significance operator LSN, and a local significance texture operator-local ternary number is provided so that the distinguishing capacity of the object representing method in the similar color background can be improved. In order to further improve the distinguishing capacity of texture characteristics, an object mask is generated through extraction of key pixel points on edges, lines and angular points, and then LTN characteristics of the object pixel in the mask are combined with chrominance information less affected by illumination variation, so that a new object model is obtained to improve the capacity for resisting the similar color and the illumination variation. Finally, the object model is embedded into a Mean Shift tracking frame, and the task of tracking an object can still be finished continuously and stably under the condition that the similar background color and illumination variation interference exist in the scene.

Description

technical field [0001] The invention belongs to the technical field of computer vision, in particular to a MeanShift tracking method that resists interference from similar colors and illumination changes. Background technique [0002] Target tracking refers to the positioning of the target in the next frame of the sequence based on parameters such as the position of the region of interest in the current frame of the video sequence. It is an important link in the field of computer vision. It has a wide range of applications in military and civilian fields. In realistic tracking scenarios, the background color may be similar to the target to be tracked and affect the accuracy of tracking, and the overall change of illumination will also interfere with the stability of tracking. Continuous and accurate target tracking has become a research hotspot in the field of computer vision in recent years. difficulty. [0003] At present, in the field of target tracking, the nuclear tra...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/20
Inventor 张红颖胡正孙毅刚
Owner CIVIL AVIATION UNIV OF CHINA
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