{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T04:16:09Z","timestamp":1750306569051,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":11,"publisher":"ACM","license":[{"start":{"date-parts":[[2014,11,3]],"date-time":"2014-11-03T00:00:00Z","timestamp":1414972800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"Shanghai Pujiang Program","award":["12PJ1404300"],"award-info":[{"award-number":["12PJ1404300"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61025005","61471235","61303170","61001146"],"award-info":[{"award-number":["61025005","61471235","61303170","61001146"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002855","name":"Ministry of Science and Technology of the People's Republic of China","doi-asserted-by":"publisher","award":["2010CB7314016"],"award-info":[{"award-number":["2010CB7314016"]}],"id":[{"id":"10.13039\/501100002855","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004921","name":"Shanghai Jiao Tong University","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100004921","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2014,11,3]]},"DOI":"10.1145\/2647868.2654955","type":"proceedings-article","created":{"date-parts":[[2014,11,3]],"date-time":"2014-11-03T14:41:51Z","timestamp":1415025711000},"page":"1077-1080","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":2,"title":["Representing And Recognizing Motion Trajectories"],"prefix":"10.1145","author":[{"given":"Yang","family":"Zhou","sequence":"first","affiliation":[{"name":"Shanghai Jiao Tong University, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Weiyao","family":"Lin","sequence":"additional","affiliation":[{"name":"Shanghai Jiao Tong University, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hang","family":"Su","sequence":"additional","affiliation":[{"name":"Shanghai Jiao Tong University, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jianxin","family":"Wu","sequence":"additional","affiliation":[{"name":"Nanjing University, Nanjing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jinjun","family":"Wang","sequence":"additional","affiliation":[{"name":"Xi'an Jiao Tong University, Xi'an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yu","family":"Zhou","sequence":"additional","affiliation":[{"name":"Chinese Academy of Sciences, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2014,11,3]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2009.2039664"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/2393347.2396385"},{"key":"e_1_3_2_1_3_1","volume-title":"Gaussian process regression flow for analysis of motion trajectories,\" ICCV","author":"Kim K.","year":"2011","unstructured":"K. Kim , D. Lee , and I. Essa , \" Gaussian process regression flow for analysis of motion trajectories,\" ICCV , 2011 . K. Kim, D. Lee, and I. Essa, \"Gaussian process regression flow for analysis of motion trajectories,\" ICCV, 2011."},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1023\/A:1020350100748"},{"key":"e_1_3_2_1_5_1","first-page":"1229","volume-title":"Conf. Computer Vision Workshops","author":"Ellis D.","year":"2009","unstructured":"D. Ellis , E. Sommerlade , and I. Reid , \" Modelling pedestrian trajectory patterns with gaussian processes,\" Int . Conf. Computer Vision Workshops , pp. 1229 -- 1234 , 2009 . D. Ellis, E. Sommerlade, and I. Reid, \"Modelling pedestrian trajectory patterns with gaussian processes,\" Int. Conf. Computer Vision Workshops, pp. 1229--1234, 2009."},{"issue":"5","key":"e_1_3_2_1_6_1","first-page":"826","article-title":"A new network-based algorithm for human activity recognition in videos","volume":"24","author":"Lin W.","year":"2014","unstructured":"W. Lin , Y. Chen , J. Wu , H. Wang , B. Sheng , and H. Li , \" A new network-based algorithm for human activity recognition in videos ,\" IEEE Trans. CSVT , 24 ( 5 ), pp. 826 -- 841 , 2014 . W. Lin, Y. Chen, J. Wu, H. Wang, B. Sheng, and H. Li, \"A new network-based algorithm for human activity recognition in videos,\" IEEE Trans. CSVT, 24(5), pp. 826--841, 2014.","journal-title":"IEEE Trans. CSVT"},{"key":"e_1_3_2_1_7_1","volume-title":"Fluid Mechanics,\" McGraw-Hill press","author":"Streeter V.","year":"1987","unstructured":"V. Streeter , E. Wylie , and K. Bedford , \" Fluid Mechanics,\" McGraw-Hill press , 1987 . V. Streeter, E. Wylie, and K. Bedford, \"Fluid Mechanics,\" McGraw-Hill press, 1987."},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1145\/1961189.1961199"},{"key":"e_1_3_2_1_9_1","volume-title":"Discriminatively trained particle filters for complex multi-object tracking,\" CVPR","author":"Hess R.","year":"2009","unstructured":"R. Hess and A. Fern , \" Discriminatively trained particle filters for complex multi-object tracking,\" CVPR , 2009 . R. Hess and A. Fern, \"Discriminatively trained particle filters for complex multi-object tracking,\" CVPR, 2009."},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-011-0459-6"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2011.64"}],"event":{"name":"MM '14: 2014 ACM Multimedia Conference","sponsor":["SIGMM ACM Special Interest Group on Multimedia"],"location":"Orlando Florida USA","acronym":"MM '14"},"container-title":["Proceedings of the 22nd ACM international conference on Multimedia"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2647868.2654955","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/2647868.2654955","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T06:13:19Z","timestamp":1750227199000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2647868.2654955"}},"subtitle":["A Tube And Droplet Approach"],"short-title":[],"issued":{"date-parts":[[2014,11,3]]},"references-count":11,"alternative-id":["10.1145\/2647868.2654955","10.1145\/2647868"],"URL":"https:\/\/doi.org\/10.1145\/2647868.2654955","relation":{},"subject":[],"published":{"date-parts":[[2014,11,3]]},"assertion":[{"value":"2014-11-03","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}