{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,19]],"date-time":"2025-03-19T10:46:27Z","timestamp":1742381187681},"reference-count":0,"publisher":"World Scientific Pub Co Pte Lt","issue":"03","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Patt. Recogn. Artif. Intell."],"published-print":{"date-parts":[[1991,8]]},"abstract":"<jats:p> Motion provides extra information that can aid in the recognition of objects. One of the most commonly seen objects is, perhaps, the human body. Yet little attention has been paid to the analysis of human motion. One of the key steps required for a successful motion analysis system is the ability to track moving objects. In this paper, we describe a new system called Log-Tracker, which was recently developed for tracking the motion of the different parts of the human body. Occlusion of body parts is termed a forking condition. Two classes of forks as well as the attributes required to classify them are described. Experimental results from two gymnastics sequences indicate that the system is able to track the body parts even when they are occluded for a short period of time. Occlusions that extend for a long period of time still pose problems to Log-Tracker. <\/jats:p>","DOI":"10.1142\/s0218001491000259","type":"journal-article","created":{"date-parts":[[2004,11,26]],"date-time":"2004-11-26T20:43:01Z","timestamp":1101501781000},"page":"439-458","source":"Crossref","is-referenced-by-count":14,"title":["LOG-TRACKER: AN ATTRIBUTE-BASED APPROACH TO TRACKING HUMAN BODY MOTION"],"prefix":"10.1142","volume":"05","author":[{"given":"WARREN","family":"LONG","sequence":"first","affiliation":[{"name":"Department of Computational Science, University of Saskatchewan, Saskatoon, Saskatchewan, Canada S7N 0W0, Canada"}]},{"given":"YEE-HONG","family":"YANG","sequence":"additional","affiliation":[{"name":"Department of Computational Science, University of Saskatchewan, Saskatoon, Saskatchewan, Canada S7N 0W0, Canada"}]}],"member":"219","published-online":{"date-parts":[[2011,11,21]]},"container-title":["International Journal of Pattern Recognition and Artificial Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.worldscientific.com\/doi\/pdf\/10.1142\/S0218001491000259","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,6]],"date-time":"2019-08-06T22:14:04Z","timestamp":1565129644000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.worldscientific.com\/doi\/abs\/10.1142\/S0218001491000259"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[1991,8]]},"references-count":0,"journal-issue":{"issue":"03","published-online":{"date-parts":[[2011,11,21]]},"published-print":{"date-parts":[[1991,8]]}},"alternative-id":["10.1142\/S0218001491000259"],"URL":"https:\/\/doi.org\/10.1142\/s0218001491000259","relation":{},"ISSN":["0218-0014","1793-6381"],"issn-type":[{"value":"0218-0014","type":"print"},{"value":"1793-6381","type":"electronic"}],"subject":[],"published":{"date-parts":[[1991,8]]}}}