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Multi-target video tracking method for industrial site

A technology for video tracking and industrial scene, applied in the field of multi-target tracking technology, can solve the problems of increasing algorithm complexity, unable to meet the real-time tracking system, etc., and achieve the effect of avoiding interference

Inactive Publication Date: 2015-01-07
SOUTHEAST UNIV
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  • Summary
  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

But at the same time, it increases the complexity of the algorithm and cannot meet the needs of the real-time tracking system

Method used

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  • Multi-target video tracking method for industrial site
  • Multi-target video tracking method for industrial site
  • Multi-target video tracking method for industrial site

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Experimental program
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Embodiment Construction

[0033] The present invention will be further explained below in conjunction with the drawings.

[0034] The present invention improves on the traditional Camshift tracking algorithm, including: ①Selecting the HSV color space to reduce the impact of illumination; ②The main idea of ​​the Camshift tracking algorithm is to use the color histogram of the tracking target feature to quickly estimate the target probability density, On this basis, the present invention uses background modeling to filter the target probability density to reduce the influence of similar objects in the static background on the Camshift tracking algorithm; ③In the iterative search process of the Camshift tracking algorithm, the search result of each iteration is weighted with the speed information , Calculated excellent search results; ④In the process of multi-target tracking, according to the search order, the area obtained by the search of the previous target is set to 0 in the probability density map to red...

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Abstract

The invention discloses a multi-target video tracking method for an industrial site. The multi-target video tracking method is a Camshift method integrating background modeling and motion information. Firstly, a target color probability density image is obtained according to tracking targets; filtering processing is carried out on the target color probability density image according to a motion area image obtained through background modeling; motion direction information is introduced in each iteration process of Camshift, and an optimal matching position is obtained through weight fusion; in the multi-target tracking process, the tracking targets which are searched in a current frame are filtered out from the target color probability density image, and interference to other targets is reduced. As is shown in an experiment, the method has good processing capacity for similar background interference and mutual interference of multiple targets.

Description

Technical field [0001] The invention relates to a multi-target video tracking method oriented to industrial scenes, which belongs to a multi-target tracking technology in industrial scenes with complex environments. Background technique [0002] With the rapid development of the industrial industry today, it has become more and more necessary to use computers to replace manpower to record and analyze on-site conditions. The traditional video surveillance system mainly analyzes the collected and acquired image information manually, the workload is very huge, and people's attention will be unable to concentrate over time, resulting in an increase in the error rate. Therefore, it is a necessary and wise choice to analyze and record this information by computers instead of people. [0003] In the intelligent video surveillance of industrial sites, warehouse logistics management is a new and complex field. The logistics warehouse environment at the industrial site is complex, there ar...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/20
CPCG06T7/90G06T7/246G06T2207/10016G06T2207/20108
Inventor 郝立李士进练海晨华聚良
Owner SOUTHEAST UNIV