Pedestrian re-identification method and device, electronic equipment and readable storage medium
The embodiment of the invention provides a pedestrian re-identification method and device, electronic equipment and a readable storage medium, and relates to the technical field of computer vision. The method comprises the steps: acquiring a to-be-recognized image containing a portrait, and inputtin...
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creator | HAN XINTONG ZHENG WEISHI WU TAO WU ANCONG HONG PEIXIAN |
description | The embodiment of the invention provides a pedestrian re-identification method and device, electronic equipment and a readable storage medium, and relates to the technical field of computer vision. The method comprises the steps: acquiring a to-be-recognized image containing a portrait, and inputting the to-be-recognized image into a re-recognition model for re-recognition to obtain a re-recognition result, wherein the re-recognition model is a trained appearance sub-network obtained by training a pre-constructed re-recognition network comprising an appearance sub-network and an appearance sub-network by taking a portrait image as a training sample, and the recognition accuracy and the recognition efficiency of pedestrian re-recognition are improved.
本申请实施例提供了一种行人重识别方法、装置、电子设备和可读存储介质,涉及计算机视觉技术领域。通过获取包含人像的待识别图像,将待识别图像输入重识别模型进行重识别,得到重识别结果。其中,重识别模型是将人像图像作为训练样本,对预先构建的包括外形子网络及外观子网络的重识别网络进行训练,得到的训练后的外观子网络,提高了行人重识别的识别准确性和识别效率。 |
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本申请实施例提供了一种行人重识别方法、装置、电子设备和可读存储介质,涉及计算机视觉技术领域。通过获取包含人像的待识别图像,将待识别图像输入重识别模型进行重识别,得到重识别结果。其中,重识别模型是将人像图像作为训练样本,对预先构建的包括外形子网络及外观子网络的重识别网络进行训练,得到的训练后的外观子网络,提高了行人重识别的识别准确性和识别效率。</description><language>chi ; eng</language><subject>CALCULATING ; COMPUTING ; COUNTING ; HANDLING RECORD CARRIERS ; PHYSICS ; PRESENTATION OF DATA ; RECOGNITION OF DATA ; RECORD CARRIERS</subject><creationdate>2021</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20210803&DB=EPODOC&CC=CN&NR=113205045A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25542,76290</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20210803&DB=EPODOC&CC=CN&NR=113205045A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>HAN XINTONG</creatorcontrib><creatorcontrib>ZHENG WEISHI</creatorcontrib><creatorcontrib>WU TAO</creatorcontrib><creatorcontrib>WU ANCONG</creatorcontrib><creatorcontrib>HONG PEIXIAN</creatorcontrib><title>Pedestrian re-identification method and device, electronic equipment and readable storage medium</title><description>The embodiment of the invention provides a pedestrian re-identification method and device, electronic equipment and a readable storage medium, and relates to the technical field of computer vision. The method comprises the steps: acquiring a to-be-recognized image containing a portrait, and inputting the to-be-recognized image into a re-recognition model for re-recognition to obtain a re-recognition result, wherein the re-recognition model is a trained appearance sub-network obtained by training a pre-constructed re-recognition network comprising an appearance sub-network and an appearance sub-network by taking a portrait image as a training sample, and the recognition accuracy and the recognition efficiency of pedestrian re-recognition are improved.
本申请实施例提供了一种行人重识别方法、装置、电子设备和可读存储介质,涉及计算机视觉技术领域。通过获取包含人像的待识别图像,将待识别图像输入重识别模型进行重识别,得到重识别结果。其中,重识别模型是将人像图像作为训练样本,对预先构建的包括外形子网络及外观子网络的重识别网络进行训练,得到的训练后的外观子网络,提高了行人重识别的识别准确性和识别效率。</description><subject>CALCULATING</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>HANDLING RECORD CARRIERS</subject><subject>PHYSICS</subject><subject>PRESENTATION OF DATA</subject><subject>RECOGNITION OF DATA</subject><subject>RECORD CARRIERS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2021</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNyzEOgkAQRmEaC6PeYe0lAZEDGKKxMhb2OO786CTsLu4Onl9iPIDVa743z24XMJJGIW8icmF4lU4sqQRvHPQZ2JBnw3iLxcagh9UYvFiD1yiDm4YviCCmew-TNER6YJpZRrfMZh31CatfF9n6eLg2pxxDaJEGsvDQtjmXZbUt6mJX76t_zAfntj13</recordid><startdate>20210803</startdate><enddate>20210803</enddate><creator>HAN XINTONG</creator><creator>ZHENG WEISHI</creator><creator>WU TAO</creator><creator>WU ANCONG</creator><creator>HONG PEIXIAN</creator><scope>EVB</scope></search><sort><creationdate>20210803</creationdate><title>Pedestrian re-identification method and device, electronic equipment and readable storage medium</title><author>HAN XINTONG ; ZHENG WEISHI ; WU TAO ; WU ANCONG ; HONG PEIXIAN</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN113205045A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2021</creationdate><topic>CALCULATING</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>HANDLING RECORD CARRIERS</topic><topic>PHYSICS</topic><topic>PRESENTATION OF DATA</topic><topic>RECOGNITION OF DATA</topic><topic>RECORD CARRIERS</topic><toplevel>online_resources</toplevel><creatorcontrib>HAN XINTONG</creatorcontrib><creatorcontrib>ZHENG WEISHI</creatorcontrib><creatorcontrib>WU TAO</creatorcontrib><creatorcontrib>WU ANCONG</creatorcontrib><creatorcontrib>HONG PEIXIAN</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>HAN XINTONG</au><au>ZHENG WEISHI</au><au>WU TAO</au><au>WU ANCONG</au><au>HONG PEIXIAN</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Pedestrian re-identification method and device, electronic equipment and readable storage medium</title><date>2021-08-03</date><risdate>2021</risdate><abstract>The embodiment of the invention provides a pedestrian re-identification method and device, electronic equipment and a readable storage medium, and relates to the technical field of computer vision. The method comprises the steps: acquiring a to-be-recognized image containing a portrait, and inputting the to-be-recognized image into a re-recognition model for re-recognition to obtain a re-recognition result, wherein the re-recognition model is a trained appearance sub-network obtained by training a pre-constructed re-recognition network comprising an appearance sub-network and an appearance sub-network by taking a portrait image as a training sample, and the recognition accuracy and the recognition efficiency of pedestrian re-recognition are improved.
本申请实施例提供了一种行人重识别方法、装置、电子设备和可读存储介质,涉及计算机视觉技术领域。通过获取包含人像的待识别图像,将待识别图像输入重识别模型进行重识别,得到重识别结果。其中,重识别模型是将人像图像作为训练样本,对预先构建的包括外形子网络及外观子网络的重识别网络进行训练,得到的训练后的外观子网络,提高了行人重识别的识别准确性和识别效率。</abstract><oa>free_for_read</oa></addata></record> |
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language | chi ; eng |
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subjects | CALCULATING COMPUTING COUNTING HANDLING RECORD CARRIERS PHYSICS PRESENTATION OF DATA RECOGNITION OF DATA RECORD CARRIERS |
title | Pedestrian re-identification method and device, electronic equipment and readable storage medium |
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