{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,2]],"date-time":"2026-02-02T14:19:02Z","timestamp":1770041942962,"version":"3.49.0"},"reference-count":23,"publisher":"SAGE Publications","issue":"6","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IFS"],"published-print":{"date-parts":[[2021,12,16]]},"abstract":"<jats:p>Person re-identification problem is a valuable computer vision task, which aims at matching pedestrian images of different cameras in a non-overlapping surveillance network. Existing metric learning based methods address this problem by learning a robust distance function. These methods learn a mapping subspace by forcing the distance of the positive pair much smaller than the negative pair by a strict constraint. The metric model is over-fitting to the training dataset. Due to drastic appearance variations, the handcrafted features are weak of representation for person re-identification. To address these problems, we propose a joint distance measure based approach, which learns a Mahalanobis distance and a Euclidean distance with a novel feature jointly. The novel feature is represented with a dictionary representation based method which considers pedestrian images of different camera views with the same dictionary. The joint distance combine the Mahalanobis distance based on metric learning method with the Euclidean distance based on the novel feature to measure the similarity between matching pairs. Extensive experiments are conducted on the publicly available bench marking datasets VIPeR and CUHK01. The identification results show that the proposed method reaches a good performance than the comparison methods.<\/jats:p>","DOI":"10.3233\/jifs-210505","type":"journal-article","created":{"date-parts":[[2021,10,29]],"date-time":"2021-10-29T11:39:47Z","timestamp":1635507587000},"page":"6629-6639","source":"Crossref","is-referenced-by-count":0,"title":["A joint structure of multi-distance based metric learning for person re-identification"],"prefix":"10.1177","volume":"41","author":[{"given":"Bin","family":"Li","sequence":"first","affiliation":[{"name":"School of Mechanical Engineering, Wuhan Polytechnic University, Wuhan Hubei, China"}]},{"given":"Qiyu","family":"He","sequence":"additional","affiliation":[{"name":"School of Mechanical Engineering, Wuhan Polytechnic University, Wuhan Hubei, China"}]},{"given":"Xiaopeng","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Animal Science, Wuhan Polytechnic University, Wuhan Hubei, China"}]},{"given":"Yajun","family":"Jiang","sequence":"additional","affiliation":[{"name":"School of Mechanical Engineering, Wuhan Polytechnic University, Wuhan Hubei, China"}]},{"given":"Zhigang","family":"Hu","sequence":"additional","affiliation":[{"name":"School of Mechanical Engineering, Wuhan Polytechnic University, Wuhan Hubei, China"}]}],"member":"179","reference":[{"issue":"5","key":"10.3233\/JIFS-210505_ref1","first-page":"1060","article-title":"Learning to track multiple targets","volume":"26","author":"Liu","year":"2014","journal-title":"IEEE T Neur Net Lear"},{"issue":"7","key":"10.3233\/JIFS-210505_ref2","doi-asserted-by":"crossref","first-page":"1409","DOI":"10.1109\/TPAMI.2011.239","article-title":"Tracking-learningdetection","volume":"34","author":"Kalal","year":"2011","journal-title":"IEEE T Pattern Anal"},{"issue":"4","key":"10.3233\/JIFS-210505_ref3","doi-asserted-by":"crossref","first-page":"4807","DOI":"10.3233\/JIFS-18491","article-title":"On comprehensive analysis of learning algorithms on pedestrian detection using shape features","volume":"35","author":"Ardiyanto","year":"2018","journal-title":"J Intell Fuzzy Syst"},{"issue":"2","key":"10.3233\/JIFS-210505_ref4","doi-asserted-by":"crossref","first-page":"1143","DOI":"10.3233\/JIFS-169888","article-title":"Key point location method for pedestrians in depth images based on deep learning","volume":"36","author":"Jian","year":"2019","journal-title":"J Intell Fuzzy Syst"},{"issue":"5","key":"10.3233\/JIFS-210505_ref5","first-page":"1","article-title":"Evaluating appearance models for recognition, reacquisition, and tracking, in: Proc. 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