講演名 2013-09-02
Enhancing Probabilistic Appearance-Based Object Tracking with Depth Information : Object Tracking under Occlusion
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抄録(和)
抄録(英) Object tracking has attracted recent attention because of high demands for its everyday-life applications. Handling occlusions especially in cluttered environments introduced new challenges to the tracking problem; identity loss, splitting/merging, shape changes, shadows and other appearance artifacts trouble appearance-based tracking techniques. Depth-maps provide necessary clues to retrieve occluded objects after they reappear, recombine split group of objects, compensate drastic appearance changes, and reduce the effect of appearance artifacts. In this study, we not only proposed a consistent way of integrating color and depth information in a particle filter framework to efficiently perform the tracking task, but also enhanced the previous color-based particle filtering to achieve trajectory independence and consistency with respect to the target scale. We also exploited local characteristics to represent the target objects and proposed a novel confidence measure for them. Appling to simple tracking problems, the performance of our method is discussed thoroughly.
キーワード(和)
キーワード(英) RGB-D particle filter / depth map / explicit occlusion handling / enhanced bounding box
資料番号 PRMU2013-42,IBISML2013-22
発行日

研究会情報
研究会 IBISML
開催期間 2013/8/26(から1日開催)
開催地(和)
開催地(英)
テーマ(和)
テーマ(英)
委員長氏名(和)
委員長氏名(英)
副委員長氏名(和)
副委員長氏名(英)
幹事氏名(和)
幹事氏名(英)
幹事補佐氏名(和)
幹事補佐氏名(英)

講演論文情報詳細
申込み研究会 Information-Based Induction Sciences and Machine Learning (IBISML)
本文の言語 ENG
タイトル(和)
サブタイトル(和)
タイトル(英) Enhancing Probabilistic Appearance-Based Object Tracking with Depth Information : Object Tracking under Occlusion
サブタイトル(和)
キーワード(1)(和/英) / RGB-D particle filter
第 1 著者 氏名(和/英) / Kourosh MESHGI
第 1 著者 所属(和/英)
Graduae School of Informatics, Kyoto University
発表年月日 2013-09-02
資料番号 PRMU2013-42,IBISML2013-22
巻番号(vol) vol.113
号番号(no) 197
ページ範囲 pp.-
ページ数 7
発行日