Pedestrian search method, system and device based on instance-oriented detection network
A search method and network technology, applied in the fields of computer vision and pattern recognition, can solve the problem of low search accuracy, and achieve the effect of reducing interference items, accurate similarity, and improving accuracy.
Inactive Publication Date: 2020-11-20
INST OF AUTOMATION CHINESE ACAD OF SCI
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[0004] In order to solve the above-mentioned problems in the prior art, that is, in order to solve the problem of low search accuracy of existing pedestrian search methods, the present invention proposes a pedestrian search method based on an instance-oriented detection network, which includes:
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[0043] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.
[0044]The application 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 related inventions, rather than to limit the invention. It should be noted that, in the case of no conflict, the embodimen...
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The invention belongs to the field of computer vision and pattern recognition, particularly relates to a pedestrian search method, system and device based on an instance-oriented detection network, and aims at solving the problem that an existing pedestrian search method is low in search accuracy. The method comprises the following steps: acquiring a tth frame of image in an input video as a firstimage; obtaining the similarity between each candidate region in the first image and the second image through a pre-trained pedestrian detection model, sorting the similarity, and selecting the firstN candidate regions as detection regions after sorting, wherein the second image is a pre-acquired image of a to-be-searched pedestrian target; based on each detection area and the second image, obtaining a search result of the pedestrian target through a pre-trained pedestrian re-identification model. According to the method disclosed in the invention, the accuracy of pedestrian target search isimproved.
Description
technical field [0001] The invention belongs to the fields of computer vision and pattern recognition, and in particular relates to a pedestrian search method, system and device based on an instance-oriented detection network. Background technique [0002] The purpose of pedestrian search is to locate pedestrians with the same identity as the target pedestrian in the scene graph. Compared with pedestrian re-identification, this task includes the pedestrian detection part, which is more in line with the needs of real life, and has a wide range of applications in security monitoring, intelligent video analysis, personnel search and rescue retrieval and other fields. [0003] The current two-stage pedestrian search method usually divides it into two subtasks: pedestrian detection and pedestrian re-identification. In the pedestrian detection stage, existing detectors detect all persons from the scene as candidate pedestrians in the second stage. However, for pedestrian re-ident...
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IPC IPC(8): G06K9/00G06K9/46G06N3/04G06N3/08
CPCG06N3/084G06V40/103G06V10/40G06N3/045
Inventor 张兆翔谭铁牛宋纯锋董文恺
Owner INST OF AUTOMATION CHINESE ACAD OF SCI