{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,8]],"date-time":"2026-01-08T05:24:25Z","timestamp":1767849865228,"version":"3.49.0"},"reference-count":19,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2008,6]]},"DOI":"10.1109\/cvpr.2008.4587510","type":"proceedings-article","created":{"date-parts":[[2008,8,12]],"date-time":"2008-08-12T14:28:49Z","timestamp":1218551329000},"page":"1-8","source":"Crossref","is-referenced-by-count":279,"title":["Learning object motion patterns for anomaly detection and improved object detection"],"prefix":"10.1109","author":[{"given":"Arslan","family":"Basharat","sequence":"first","affiliation":[]},{"given":"Alexei","family":"Gritai","sequence":"additional","affiliation":[]},{"given":"Mubarak","family":"Shah","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"19","article-title":"robust and efficient foreground analysis for real-time video surveillance","author":"tian","year":"2005","journal-title":"CVPR"},{"key":"17","doi-asserted-by":"publisher","DOI":"10.1109\/34.868677"},{"key":"18","article-title":"learning semantic scene models by trajectory analysis","author":"wang","year":"2006","journal-title":"ECCV"},{"key":"15","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2008.175"},{"key":"16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.1999.784637"},{"key":"13","year":"0"},{"key":"14","doi-asserted-by":"publisher","DOI":"10.5244\/C.15.70"},{"key":"11","author":"kenney","year":"1951","journal-title":"Mathematics of Statistics"},{"key":"12","doi-asserted-by":"publisher","DOI":"10.1109\/TSMCB.2005.846652"},{"key":"3","year":"0"},{"key":"2","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2000.868676"},{"key":"1","article-title":"generative models for learning and understanding dynamic scene activity","author":"buxton","year":"2002","journal-title":"Workshop on GMBV"},{"key":"10","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR.2004.1334359"},{"key":"7","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2006.176"},{"key":"6","article-title":"a framework for high-level feedback to adaptive, per-pixel, mixture-of-gaussian background models","author":"harville","year":"2002","journal-title":"ECCV"},{"key":"5","article-title":"using adaptive tracking to classify and monitor activities in asite","author":"grimson","year":"1998","journal-title":"CVPR"},{"key":"4","doi-asserted-by":"publisher","DOI":"10.1109\/34.990138"},{"key":"9","doi-asserted-by":"publisher","DOI":"10.1016\/0262-8856(96)01101-8"},{"key":"8","article-title":"tracking and object classification for automated surveillance","author":"javed","year":"2002","journal-title":"ECCV"}],"event":{"name":"2008 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)","location":"Anchorage, AK, USA","start":{"date-parts":[[2008,6,23]]},"end":{"date-parts":[[2008,6,28]]}},"container-title":["2008 IEEE Conference on Computer Vision and Pattern Recognition"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx5\/4558014\/4587335\/04587510.pdf?arnumber=4587510","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2017,3,16]],"date-time":"2017-03-16T18:32:18Z","timestamp":1489689138000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/4587510\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2008,6]]},"references-count":19,"URL":"https:\/\/doi.org\/10.1109\/cvpr.2008.4587510","relation":{},"subject":[],"published":{"date-parts":[[2008,6]]}}}