Human body target re-identification method and system among multiple cameras

A human target and multi-camera technology, applied in the field of image recognition, can solve problems such as the inability to realize multi-frame image data re-identification

Active Publication Date: 2016-05-11
深圳市兴海物联科技有限公司
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Problems solved by technology

[0004] The technical problem to be solved by the present invention is to provide a method and system for re-identification of human body targets between multiple sensors, aiming at solving the

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[0084] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0085] Human re-identification is a key task in human cross-camera tracking, which has received extensive attention in recent years. Human body re-identification is to use some visual features to perform human body matching in different camera fields of view. Human re-identification has very important applications in video surveillance systems, such as cross-camera tracking, behavior analysis, and pedestrian search. After more than ten years of research, there are already many human body re-identification algorithms, but they still face huge challenges, mainly because of factors such as illuminati...

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Abstract

The invention is suitable for human body target re-identification among multiple cameras in an overlap-free area, and provides a human body target re-identification method among multiple cameras. The method comprises the following steps: A) dividing a known human body image sequence and an individual image sequence to be identified in a map depot into a plurality of groups, and calculating the individual similarity difference characteristics of each group according to prototype similarity characteristics; B) according to the individual similarity difference characteristics of each group and the corresponding tag of the individual similarity difference characteristics of each group, carrying out classifier training; and C) calculating the output weight average value of the classifier so as to determine the human body which is matched to a highest degree. The method can use multiple frames of image data to realize the human body re-identification and measure the similarity of a human body target in the multiple frames of image data. Compared with an algorithm provided by the prior art, a significant difference distance provided by the invention is higher in an identification rate on a data set, and the robustness of influence factors, including large size, dimension, shielding and the like, generated on the human body in a sample image among different cameras can be effectively improved so as to improve the identification rate of the algorithm.

Description

technical field [0001] The invention belongs to the field of image recognition, and in particular relates to a method and system for re-recognition of human body targets between multiple cameras without overlapping areas. Background technique [0002] At present, the existing human body re-identification methods almost use a query image to perform similarity matching with all the images in the gallery. However, these methods have inherent defects, that is, the appearance characteristics of the human body may change significantly between cameras. The principle of visual recognition points out that target recognition is a dynamic process, that is, it is necessary to look at two targets for a period of time to recognize whether they are the same target. In the prior art, a human body re-identification algorithm based on the image sequence is proposed by using the image sequence generated by the pedestrian tracking in each camera. The algorithm calculates the similarity between...

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Application Information

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IPC IPC(8): G06K9/00G06K9/62
CPCG06V40/103G06F18/22G06F18/24147G06F18/00
Inventor 李岩山谭飞刚谢维信张勇石伟
Owner 深圳市兴海物联科技有限公司
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