The Ninth Visual Object Tracking VOT2021 Challenge Results
學年 110
學期 1
發表日期 2021-10-11
作品名稱 The Ninth Visual Object Tracking VOT2021 Challenge Results
作品名稱(其他語言)
著者 Matej Kristan; Jiří Matas; Aleš Leonardis; Michael Felsberg; Roman Pflugfelder; Joni-Kristian Kämäräinen
作品所屬單位
出版者
會議名稱 IEEE/CVF International Conference on Computer Vision Workshops
會議地點 Montreal, BC, Canada
摘要 The Visual Object Tracking challenge VOT2021 is the ninth annual tracker benchmarking activity organized by the VOT initiative. Results of 71 trackers are presented; many are state-of-the-art trackers published at major computer vision conferences or in journals in recent years. The VOT2021 challenge was composed of four sub-challenges focusing on different tracking domains: (i) VOT-ST2021 challenge focused on short-term tracking in RGB, (ii) VOT-RT2021 challenge focused on "real-time" short-term tracking in RGB, (iii) VOT-LT2021 focused on long-term tracking, namely coping with target disappearance and reappearance and (iv) VOT-RGBD2021 challenge focused on long-term tracking in RGB and depth imagery. The VOT-ST2021 dataset was refreshed, while VOT-RGBD2021 introduces a training dataset and sequestered dataset for winner identification. The source code for most of the trackers, the datasets, the evaluation kit and the results along with the source code for most trackers are publicly available at the challenge website.
關鍵字 Training;Location awareness;Visualization;Computer vision;Target tracking;Correlation;Focusing
語言 en_US
收錄於
會議性質 國際
校內研討會地點
研討會時間 20211011~20211017
通訊作者
國別 CAN
公開徵稿
出版型式
出處 IEEE ICCVW
相關連結

機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/122623 )