{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:30:17Z","timestamp":1750221017727,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":16,"publisher":"ACM","license":[{"start":{"date-parts":[[2019,8,26]],"date-time":"2019-08-26T00:00:00Z","timestamp":1566777600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2019,8,26]]},"DOI":"10.1145\/3387168.3387201","type":"proceedings-article","created":{"date-parts":[[2020,5,26]],"date-time":"2020-05-26T00:25:51Z","timestamp":1590452751000},"page":"1-6","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Gait Energy Image Based on Static Region Alignment for Pedestrian Gait Recognition"],"prefix":"10.1145","author":[{"given":"Zhong","family":"Li","sequence":"first","affiliation":[{"name":"College of Intelligence Science and Engineering, National University of Defense Technology, Changsha, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiulong","family":"Xiong","sequence":"additional","affiliation":[{"name":"College of Intelligence Science and Engineering, National University of Defense Technology, Changsha, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiangbin","family":"Ye","sequence":"additional","affiliation":[{"name":"College of Intelligence Science and Engineering, National University of Defense Technology, Changsha, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2020,5,25]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1109\/TSMCB.2011.2149518"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2005.177"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0167-8655(03)00094-1"},{"key":"e_1_3_2_1_4_1","volume-title":"Individual recognition using gait energy image[J]","author":"Han J","year":"2006","unstructured":"Han J , Bhanu B. Individual recognition using gait energy image[J] . IEEE transactions on pattern analysis and machine intelligence, 2006 , 28(2): 316--322. Han J, Bhanu B. Individual recognition using gait energy image[J]. IEEE transactions on pattern analysis and machine intelligence, 2006, 28(2): 316--322."},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2003.818349"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.3758\/BF03198740"},{"key":"e_1_3_2_1_7_1","volume-title":"Proc. Int. Conf. on Crime Detection and Prevention","author":"Lam K","year":"2010","unstructured":"Lam K , Xiang T. Gait recognition using gait entropy image[J] . Proc. Int. Conf. on Crime Detection and Prevention , 2010(2), 1--6 ( 2010 ). Lam K, Xiang T. Gait recognition using gait entropy image[J]. Proc. Int. Conf. on Crime Detection and Prevention, 2010(2), 1--6 (2010)."},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/AFGR.2002.1004148"},{"key":"e_1_3_2_1_9_1","volume-title":"Recognizing people by their gait: the shape of motion[J]. Videre: Journal of computer vision research","author":"Little J","year":"1998","unstructured":"Little J , Boyd J. Recognizing people by their gait: the shape of motion[J]. Videre: Journal of computer vision research , 1998 , 1(2): 1--32. Little J, Boyd J. Recognizing people by their gait: the shape of motion[J]. Videre: Journal of computer vision research, 1998, 1(2): 1--32."},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1016\/0031-3203(95)00067-4"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR.1994.576366"},{"key":"e_1_3_2_1_12_1","volume-title":"Proc. Asian Conf. on Computer Vision, 3851","author":"Shiqi Y","year":"2006","unstructured":"Shiqi Y , Daoliang T , Tieniu T. Modelling the effect of view angle variation on appearance-based gait recognition[J] . Proc. Asian Conf. on Computer Vision, 3851 , 807--816 ( 2006 ). Shiqi Y, Daoliang T, Tieniu T. Modelling the effect of view angle variation on appearance-based gait recognition[J]. Proc. Asian Conf. on Computer Vision, 3851, 807--816 (2006)."},{"key":"e_1_3_2_1_13_1","first-page":"776","volume":"2","author":"Veres G","year":"2004","unstructured":"Veres G , Gordon L , Carter J. What image information is important in silhouette-based gait recognition[J]. IEEE CVPR , 2 , 776 -- 782 ( 2004 ). Veres G, Gordon L, Carter J. What image information is important in silhouette-based gait recognition[J]. IEEE CVPR, 2, 776--782 (2004).","journal-title":"IEEE CVPR"},{"key":"e_1_3_2_1_14_1","volume-title":"Proc. Int. Conf. on Intelligent Signal Processing & Communication Systems, 1--5","author":"Yeoh T","year":"2017","unstructured":"Yeoh T , Tanaka K. Clothing-invariant gait recognition using convolutional neural network[J] . Proc. Int. Conf. on Intelligent Signal Processing & Communication Systems, 1--5 ( 2017 ). Yeoh T, Tanaka K. Clothing-invariant gait recognition using convolutional neural network[J]. Proc. Int. Conf. on Intelligent Signal Processing & Communication Systems, 1--5 (2017)."},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1007\/11558484_18"},{"key":"e_1_3_2_1_16_1","first-page":"79","volume":"8294","author":"Zhenjun Y","year":"2013","unstructured":"Zhenjun Y , Zhaoxiang Z , Maodi H. Cross -view gait-based gender classification by transfer learning[J]. Proc. Pacific-Rim on Multimedia , 8294 , 79 -- 87 ( 2013 ). Zhenjun Y, Zhaoxiang Z, Maodi H. Cross-view gait-based gender classification by transfer learning[J]. Proc. Pacific-Rim on Multimedia, 8294, 79--87 (2013).","journal-title":"Proc. Pacific-Rim on Multimedia"}],"event":{"name":"ICVISP 2019: 3rd International Conference on Vision, Image and Signal Processing","acronym":"ICVISP 2019","location":"Vancouver BC Canada"},"container-title":["Proceedings of the 3rd International Conference on Vision, Image and Signal Processing"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3387168.3387201","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3387168.3387201","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T00:26:17Z","timestamp":1750206377000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3387168.3387201"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,8,26]]},"references-count":16,"alternative-id":["10.1145\/3387168.3387201","10.1145\/3387168"],"URL":"https:\/\/doi.org\/10.1145\/3387168.3387201","relation":{},"subject":[],"published":{"date-parts":[[2019,8,26]]},"assertion":[{"value":"2020-05-25","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}