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Person comparison method based on combined template cluster sampling matching

A technology of combining templates and clustering sampling, applied in character and pattern recognition, instruments, computer parts, etc., can solve problems such as false positive samples, difficulty in finding local matching methods for people, and difficulty in recognizing people, and achieves accuracy. high effect

Inactive Publication Date: 2014-08-13
SYSU CMU SHUNDE INT JOINT RES INST +1
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  • Claims
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Problems solved by technology

However, character comparison is very difficult and challenging. On the one hand, it is difficult to find a robust and good expression method for characters, because the shape of the human body will change greatly (such as viewing angle, movement, lighting conditions, etc.), so It is difficult to effectively identify people by extracting low-level image features to construct templates; on the other hand, it is difficult to find an effective local matching method for people. Given a person's template, the result of character matching using global character information will always be get a lot of false positive samples

Method used

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  • Person comparison method based on combined template cluster sampling matching
  • Person comparison method based on combined template cluster sampling matching
  • Person comparison method based on combined template cluster sampling matching

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Embodiment Construction

[0032] The present invention will be further described below in conjunction with the accompanying drawings, but the embodiments of the present invention are not limited thereto.

[0033] The process of a person comparison method based on combined template clustering sampling matching is as follows: figure 1 shown, including the following steps:

[0034] 1) Input multiple single-person (same person) pictures and one multi-person picture;

[0035] Preferably, the present invention follows the following two settings in monitoring application requirements:

[0036] a) The clothing of the characters remains unchanged in different scenes, that is, the clothing of the characters in multiple input single-person images and one multi-person image should remain unchanged;

[0037] b) The person to be compared needs to have a certain resolution, in this embodiment, its height is 120 pixels.

[0038] 2) Extract a single-person multi-instance combination template T from multiple single-p...

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Abstract

The invention discloses a person comparison method based on combined template cluster sampling matching. The method comprises the following steps: 1) a plurality of single-person pictures and one multiple-person picture are inputted, wherein the persons in the plurality of single-person pictures are a same person; 2) a single-person multiple-instance combined template is extracted from the plurality of single-person pictures, and an alternative target set is extracted from the multiple-person picture; 3) a body matching candidate graph is established through the single-person multiple-instance combined template and the alternative target set; 4) and the body matching candidate graph is solved to find the best person body matching. According to the method, the position and logical relationship among person bodies is taken into account, so the accuracy rate of person comparison can be effectively improved.

Description

technical field [0001] The present invention relates to the field of character comparison, and more specifically, to a character comparison method based on combined template clustering sampling matching. Background technique [0002] Person comparison has begun to receive more and more attention in video surveillance, especially when the application of face recognition is limited. However, character comparison is very difficult and challenging. On the one hand, it is difficult to find a robust and good expression method for characters, because the shape of the human body will change greatly (such as viewing angle, movement, lighting conditions, etc.), so It is difficult to effectively identify people by extracting low-level image features to construct templates; on the other hand, it is difficult to find an effective local matching method for people. Given a character template, the result of character matching using global character information will always be Get a lot of f...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/62
Inventor 林倞王喆徐元璐江波
Owner SYSU CMU SHUNDE INT JOINT RES INST
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