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To solve these problems, this paper proposes a person retrieval method that extracts the attributes of a masked image using an instance segmentation module for each object of interest. It uses attributes such as color and type of clothes to describe a person. The proposed person retrieval system involves four steps: (1) using the YOLACT++ model to perform pixelwise person segmentation, (2) conducting appearance\u2010based attribute feature extraction using a multiple convolutional neural network classifier, (3) employing a search engine with a fundamental attribute matching approach, and (4) implementing a video summarization technique to produce a temporal abstraction of retrieved objects. Experimental results show that the proposed retrieval system can achieve effective retrieval performance and provide a quick overview of retrieved content for multicamera surveillance systems.<\/jats:p>","DOI":"10.1155\/2021\/9566628","type":"journal-article","created":{"date-parts":[[2021,8,21]],"date-time":"2021-08-21T18:20:13Z","timestamp":1629570013000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":17,"title":["Person Retrieval in Video Surveillance Using Deep Learning\u2013Based Instance Segmentation"],"prefix":"10.1155","volume":"2021","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9039-766X","authenticated-orcid":false,"given":"Chien-Hao","family":"Tseng","sequence":"first","affiliation":[]},{"given":"Chia-Chien","family":"Hsieh","sequence":"additional","affiliation":[]},{"given":"Dah-Jing","family":"Jwo","sequence":"additional","affiliation":[]},{"given":"Jyh-Horng","family":"Wu","sequence":"additional","affiliation":[]},{"given":"Ruey-Kai","family":"Sheu","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8449-7872","authenticated-orcid":false,"given":"Lun-Chi","family":"Chen","sequence":"additional","affiliation":[]}],"member":"311","published-online":{"date-parts":[[2021,8,21]]},"reference":[{"key":"e_1_2_7_1_2","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2006.876287"},{"key":"e_1_2_7_2_2","unstructured":"VermaK. 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