Improving the Efficiency in Multiple Object Tracking by Tracker Switching According to Occlusion States

• Item type: Journal(1)
• 公開日: 2021-11-15
• タイトル: Improving the Efficiency in Multiple Object Tracking by Tracker Switching According to Occlusion States
• タイトル / 言語: en
• タイトル: Improving the Efficiency in Multiple Object Tracking by Tracker Switching According to Occlusion States
• 言語: eng
• キーワード / 主題Scheme: Other
• キーワード / 主題: [一般論文（推薦論文）] multiple object tracking, occlusion
• 資源タイプ / 資源タイプ識別子: http://purl.org/coar/resource_type/c_6501
• 資源タイプ: journal article
• 著者所属: Graduate School of Information Sciences, Tohoku University
• 著者所属: Department of Computer Sciences and Electronics, Universitas Gadjah Mada
• 著者所属: National Institute of Technology, Sendai College
• 著者所属: Graduate School of Information Sciences, Tohoku University／Cyberscience Center,Tohoku University
• 著者所属: Graduate School of Information Sciences, Tohoku University／Cyberscience Center,Tohoku University
• 著者所属(英): en
• 著者所属(英): Graduate School of Information Sciences, Tohoku University
• 著者所属(英): en
• 著者所属(英): Department of Computer Sciences and Electronics, Universitas Gadjah Mada
• 著者所属(英): en
• 著者所属(英): National Institute of Technology, Sendai College
• 著者所属(英): en
• 著者所属(英): Graduate School of Information Sciences, Tohoku University / Cyberscience Center,Tohoku University
• 著者所属(英): en
• 著者所属(英): Graduate School of Information Sciences, Tohoku University / Cyberscience Center,Tohoku University
• 著者名: Bo, Chen; Muhammad, Alfian Amrizal; Satoru, Izumi; Toru, Abe; Takuo, Suganuma
• 著者名(英): Bo, Chen; Muhammad, Alfian Amrizal; Satoru, Izumi; Toru, Abe; Takuo, Suganuma
• 論文抄録 / 内容記述タイプ: Other
• 論文抄録 / 内容記述: The objective of multiple object tracking (MOT) is to locate the positions of multiple objects in a video, maintain their identities, and obtain their individual trajectories. One of the most crucial challenges of MOT is how to handle object occlusion effectively. The existing methods try to treat different occlusion situations with the same architecture, which leads to limits on performance. More specifically some trackers can achieve fast speed (frame per second) but cannot handle occlusion effectively, while other trackers can handle occlusion properly but are expensive due to costly computational resources. The proposed method estimates the occlusion states of objects, applies different trackers according to the estimation results, and finally combines the results of different trackers. This method can reduce unnecessary computational costs, and consequently can improve the efficiency of the high accuracy trackers. We evaluate the effectiveness of our proposal for different scenarios.; ------------------------------; This is a preprint of an article intended for publication Journal of; Information Processing(JIP). This preprint should not be cited. This; article should be cited as: Journal of Information Processing Vol.29(2021) (online); DOI http://dx.doi.org/10.2197/ipsjjip.29.717; ------------------------------
• 論文抄録(英) / 内容記述タイプ: Other
• 論文抄録(英) / 内容記述: The objective of multiple object tracking (MOT) is to locate the positions of multiple objects in a video, maintain their identities, and obtain their individual trajectories. One of the most crucial challenges of MOT is how to handle object occlusion effectively. The existing methods try to treat different occlusion situations with the same architecture, which leads to limits on performance. More specifically some trackers can achieve fast speed (frame per second) but cannot handle occlusion effectively, while other trackers can handle occlusion properly but are expensive due to costly computational resources. The proposed method estimates the occlusion states of objects, applies different trackers according to the estimation results, and finally combines the results of different trackers. This method can reduce unnecessary computational costs, and consequently can improve the efficiency of the high accuracy trackers. We evaluate the effectiveness of our proposal for different scenarios.; ------------------------------; This is a preprint of an article intended for publication Journal of; Information Processing(JIP). This preprint should not be cited. This; article should be cited as: Journal of Information Processing Vol.29(2021) (online); DOI http://dx.doi.org/10.2197/ipsjjip.29.717; ------------------------------
• 書誌レコードID / 収録物識別子タイプ: NCID
• 書誌レコードID / 収録物識別子: AN00116647
• 書誌情報: 情報処理学会論文誌; 巻 62, 号 11, 発行日 2021-11-15
• ISSN / 収録物識別子タイプ: ISSN
• ISSN / 収録物識別子: 1882-7764