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Improved Camshift target tracking method

A target tracking, target technology, applied in image data processing, instrument, character and pattern recognition, etc., can solve problems such as poor anti-background interference ability

Inactive Publication Date: 2015-03-25
TIANJIN POLYTECHNIC UNIV
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AI Technical Summary

Problems solved by technology

[0004] The technical problem to be solved by the present invention is to design an improved tracking method with strong anti-interference for the shortcomings of the CamShift tracking algorithm, which has poor anti-background interference ability

Method used

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  • Improved Camshift target tracking method

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Embodiment Construction

[0009] The present invention will be described in further detail below in conjunction with the accompanying drawings.

[0010] In order to improve the robustness of the tracking method and reduce the impact of light brightness on target recognition, the CamShift algorithm generally selects the chrominance information in the HSV color space with independent chroma, saturation and brightness as features to establish a histogram model of the target. Then use the target histogram back projection to obtain the color probability distribution map of the tracking window, and use the mean shift algorithm to continuously move the center of the tracking window to the centroid position to achieve target positioning, and use the tracking window as the initial search window for the next frame of image. The tracking of the target can be realized by repeating the iterative calculation.

[0011] Since the CamShift algorithm only uses chromaticity information to establish a color probability di...

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Abstract

The invention belongs to the field of picture processing and target tracking, and particularly provides an improved Camshift target tracking method. A target model is set up through chroma-differential two-dimensional union features. The maximum differential value of the chroma of eight neighborhoods of each pixel is used as the differential value of the pixel and used for describing relative position information of the pixel and detailed information of a picture. According to a chroma-differential two-dimensional union histogram of the target model, a chroma-differential two-dimensional feature union probability distribution diagram of the tracked picture is obtained through back projection. Target locating is achieved in a tracking window through the mean shift method. Excessive adjustment of target sizes and directions is limited. The method has higher interference resistance under a complex background condition, and target tracking stability can be effectively improved. The method is suitable for a moving target tracking system.

Description

technical field [0001] The invention belongs to the field of image processing and target tracking, and relates to an improved tracking method based on a Camshift algorithm, in particular to a Camshift target tracking method using a two-dimensional joint feature model. Background technique [0002] The recognition and tracking of moving targets has always been a hot topic in the field of computer vision, and has important application value in many fields such as automated production lines, video surveillance systems, and military defense. Since the tracking system usually has strict real-time requirements, it is often difficult to apply the identification and tracking methods with a large amount of calculation to the actual system. However, methods with a small amount of calculation usually have low recognition accuracy. In view of this requirement, among various target recognition and tracking algorithms, the MeanShift algorithm has been widely used in the field of target r...

Claims

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Application Information

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IPC IPC(8): G06T7/20G06T5/40G06K9/00
CPCG06T7/248G06T2207/10016G06T2207/30201G06V40/168
Inventor 修春波魏世安
Owner TIANJIN POLYTECHNIC UNIV
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