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Intensive pedestrian flow rate real-time detection method based on color feature

A color feature, real-time detection technology, applied in image data processing, instrument, character and pattern recognition, etc., can solve the problems of high computational complexity, not easy to process in real time, difficult to segment the foreground, etc., to achieve low computational complexity, good Good performance and real-time performance

Inactive Publication Date: 2013-12-11
SHANGHAI INST OF MICROSYSTEM & INFORMATION TECH CHINESE ACAD OF SCI
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  • Claims
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AI Technical Summary

Problems solved by technology

Methods using moving foreground detection are often affected by the problem that the foreground is difficult to segment
The method of using pattern recognition has high computational complexity and is not easy to do real-time processing

Method used

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  • Intensive pedestrian flow rate real-time detection method based on color feature
  • Intensive pedestrian flow rate real-time detection method based on color feature
  • Intensive pedestrian flow rate real-time detection method based on color feature

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Embodiment Construction

[0029] Below in conjunction with specific embodiment, further illustrate the present invention. It should be understood that these examples are only used to illustrate the present invention and are not intended to limit the scope of the present invention. In addition, it should be understood that after reading the teachings of the present invention, those skilled in the art can make various changes or modifications to the present invention, and these equivalent forms also fall within the scope defined by the appended claims of the present application.

[0030] The invention relates to a method for real-time detection of dense human flow based on color features, such as figure 1 As shown, it includes the following steps: analyze the clustering characteristics of the collected hair color image samples; perform distortion correction preprocessing on the video; perform binarization according to the color features; extract the moving foreground according to the background differenc...

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Abstract

The invention relates to an intensive pedestrian flow rate real-time detection method based on the color feature. The intensive pedestrian flow rate real-time detection method based on the color feature comprises the following steps: carrying out cluster characteristic analysis on collected hair color picture samples, carrying out preprocessing of distortion correction on videos, carrying out binaryzation according to the color feature, extracting movement foreground according to difference of backgrounds, mixing a binaryzation result and a foreground picture, obtaining an area of heads of pedestrians by analyzing, tracking the pedestrians, recording tracks of the pedestrians, and judging the number of the pedestrians and movement directions according to track information. The intensive pedestrian flow rate real-time detection method based on the color feature can effectively solve the problems of interference of background colors and difficult cutting of foreground of moving targets, is low in computation complexity, can detect the pedestrian flow rate in real time, and is suitable for the field of monitoring of intelligent videos.

Description

technical field [0001] The invention relates to human flow analysis in the technical field of computer vision, in particular to a method for real-time detection of dense human flow based on color features. Background technique [0002] Computer vision is a multidisciplinary technical field, which involves computer, signal processing, mathematics and other disciplines. In the field of computer vision, the direction of human-centered research occupies a large part, such as face recognition, pedestrian tracking, and traffic statistics. With the development of society, people counting in some public places has become an important public safety requirement and an important business requirement. The method of using computer vision to count people has the characteristics of low cost, saving labor costs, and high degree of automation. Therefore, in railway stations, large shopping malls, subway stations, airports and other places, there are many people counting systems based on co...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/60G06T7/00
Inventor 徐小龙谷宇章胡珂立邹方圆魏智张诚
Owner SHANGHAI INST OF MICROSYSTEM & INFORMATION TECH CHINESE ACAD OF SCI
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