Passenger flow identifying and tracking method and passenger flow identifying and tracking system

A passenger flow and image technology, applied in the field of image processing, can solve the problems of long time consumption and high false detection rate

Inactive Publication Date: 2022-01-25
SENSLAB INC
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  • Claims
  • Application Information

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Problems solved by technology

However, the shape-based template matching algorithm takes a long time and has a high false positive rate

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  • Passenger flow identifying and tracking method and passenger flow identifying and tracking system
  • Passenger flow identifying and tracking method and passenger flow identifying and tracking system

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Embodiment Construction

[0051] In order to make the purpose, technical solutions and advantages of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings of the present invention. Obviously, the described embodiments are a part of the present invention. examples, but not all examples. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention. Unless otherwise defined, technical or scientific terms used herein should have the ordinary meaning as understood by one of ordinary skill in the art to which this invention belongs. As used herein, "comprising" and similar words mean that the elements or things appearing before the word encompass the elements or things recited after the word and their equivalents, but do not excl...

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Abstract

The invention provides a passenger flow identification and tracking method, and the method comprises the following steps: equally dividing an image into m parts of first equally divided images, performing foreground extraction to obtain a corresponding chamfer distance transformation image, selecting any part of first equally divided image as a template tree extraction image, equally dividing the template tree extraction image into n parts, respectively establishing template trees, matching a chamfering distance transformation image corresponding to the template tree extraction image with the template tree, rotating the chamfering distance transformation images corresponding to the remaining first equally divided images to the positions of the chamfering distance transformation images corresponding to the template tree extraction image, and then performing matching with the template tree, so as to determine whether there is a pedestrian or not; after the existence of the pedestrian is determined, tracking the position of the pedestrian; therefore, the recognition precision is improved through the matching of the template tree, the number of matched templates is further reduced in combination with the chamfering distance transformation image, and the efficiency is improved. The invention also provides a passenger flow identification and tracking system.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a passenger flow identification and tracking method and a passenger flow identification and tracking system. Background technique [0002] Existing template matching algorithms commonly used in passenger flow identification and tracking include three methods, namely feature-based template matching, shape-based template matching and gray-based template matching. [0003] Among them, the grayscale-based template matching method is the earliest algorithm. This algorithm has strict requirements on illumination, intensity and other information, and the recognition efficiency in different scenes is very low. The feature-based template matching method mainly uses the features of the image to identify, but the speed is very slow and cannot meet the needs of high speed. The main idea of ​​the shape-based template matching method is to extract the edge information of the image, a...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06V20/58G06V10/25G06V10/26
Inventor 张鲁丹
Owner SENSLAB INC
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