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However, previous methods often produce false object contour points in case of cluttered backgrounds and partial occlusions. In this paper, we propose a novel edge\u2010based 3D objects tracking method to tackle this problem. To search the object contour points, foreground and background clutter points are first filtered out using edge color cue, then object contour points are searched by maximizing their edge confidence which combines edge color and distance cues. Furthermore, the edge confidence is integrated into the edge\u2010based energy function to reduce the influence of false contour points caused by cluttered backgrounds and partial occlusions. We also extend our method to multi\u2010object tracking which can handle mutual occlusions. We compare our method with the recent state\u2010of\u2010art methods on challenging public datasets. Experiments demonstrate that our method improves robustness and accuracy against cluttered backgrounds and partial occlusions.<\/jats:p>","DOI":"10.1111\/cgf.14154","type":"journal-article","created":{"date-parts":[[2020,11,24]],"date-time":"2020-11-24T09:05:39Z","timestamp":1606208739000},"page":"399-409","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":30,"title":["An Occlusion\u2010aware Edge\u2010Based Method for Monocular 3D Object Tracking using Edge Confidence"],"prefix":"10.1111","volume":"39","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4111-0698","authenticated-orcid":false,"given":"Hong","family":"Huang","sequence":"first","affiliation":[{"name":"School of Software Shandong University China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fan","family":"Zhong","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology Shandong University China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuqing","family":"Sun","sequence":"additional","affiliation":[{"name":"School of Software Shandong University China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xueying","family":"Qin","sequence":"additional","affiliation":[{"name":"School of Software Shandong University China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2020,11,24]]},"reference":[{"issue":"1","key":"e_1_2_8_2_2","doi-asserted-by":"crossref","first-page":"68","DOI":"10.1109\/TVCG.2011.34","article-title":"A framework for 3d model\u2010based visual tracking using a gpu\u2010accelerated particle filter","volume":"18","author":"Brown J. 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