The Tenth Visual Object Tracking VOT2022 Challenge Results

Matej Kristan; Aleš Leonardis; Jiří Matas; Michael Felsberg; Roman Pflugfelder; Joni Kristian Kämäräinen; Hyung Jin Chang; Martin Danelljan; Luka Čehovin Zajc; Alan Lukežič; Ondrej Drbohlav; Johanna Björklund; Yushan Zhang; Zhongqun Zhang; Song Yan; Wenyan Yang; Dingding Cai; Christoph Mayer; Gustavo Fernández; Kang Ben; Goutam Bhat; Hong Chang; Guangqi Chen; Jiaye Chen; Shengyong Chen; Xilin Chen; Xin Chen; Xiuyi Chen; Yiwei Chen; Yu Hsi Chen; Zhixing Chen; Yangming Cheng; Angelo Ciaramella; Yutao Cui; Benjamin Džubur; Mohana Murali Dasari; Qili Deng; Debajyoti Dhar; Shangzhe Di; Emanuel Di Nardo; Daniel K. Du; Matteo Dunnhofer; Heng Fan; Zhenhua Feng; Zhihong Fu; Shang Gao; Rama Krishna Gorthi; Eric Granger; Q. H. Gu; Himanshu Gupta; Jianfeng He; Keji He; Yan Huang; Deepak Jangid; Rongrong Ji; Cheng Jiang; Yingjie Jiang; Felix Järemo Lawin; Ze Kang; Madhu Kiran; Josef Kittler; Simiao Lai; Xiangyuan Lan; Dongwook Lee; Hyunjeong Lee; Seohyung Lee; Hui Li; Ming Li; Wangkai Li; Xi Li; Xianxian Li; Xiao Li; Zhe Li; Liting Lin; Haibin Ling; Bo Liu; Chang Liu; Si Liu; Huchuan Lu; Rafael M.O. Cruz; Bingpeng Ma; Chao Ma; Jie Ma; Yinchao Ma; Niki Martinel; Alireza Memarmoghadam; Christian Micheloni; Payman Moallem; Le Thanh Nguyen-Meidine; Siyang Pan; Chang Beom Park; Danda Paudel; Matthieu Paul; Houwen Peng; Andreas Robinson; Litu Rout; Shiguang Shan; Kristian Simonato; Tianhui Song; Xiaoning Song; Chao Sun; Jingna Sun; Zhangyong Tang; Radu Timofte; Chi Yi Tsai; Luc Van Gool; Om Prakash Verma; Dong Wang; Fei Wang; Liang Wang; Liangliang Wang; Lijun Wang; Limin Wang; Qiang Wang; Gangshan Wu; Jinlin Wu; Xiaojun Wu; Fei Xie; Tianyang Xu; Wei Xu; Yong Xu; Yuanyou Xu; Wanli Xue; Zizheng Xun; Bin Yan; Dawei Yang; Jinyu Yang; Wankou Yang; Xiaoyun Yang; Yi Yang; Yichun Yang; Zongxin Yang; Botao Ye; Fisher Yu; Hongyuan Yu; Jiaqian Yu; Qianjin Yu; Weichen Yu; Kang Ze; Jiang Zhai; Chengwei Zhang; Chunhu Zhang; Kaihua Zhang; Tianzhu Zhang; Wenkang Zhang; Zhibin Zhang; Zhipeng Zhang; Jie Zhao; Shaochuan Zhao; Feng Zheng; Haixia Zheng; Min Zheng; Bineng Zhong; Jiawen Zhu; Xuefeng Zhu; Yueting Zhuang

doi:10.1007/978-3-031-25085-9_25

The Tenth Visual Object Tracking VOT2022 Challenge Results

Matej Kristan
, Aleš Leonardis^*
, Jiří Matas
, Michael Felsberg
, Roman Pflugfelder
, Joni Kristian Kämäräinen
, Hyung Jin Chang
, Martin Danelljan
, Luka Čehovin Zajc
, Alan Lukežič
, Ondrej Drbohlav
, Johanna Björklund
, Yushan Zhang
, Zhongqun Zhang
, Song Yan
, Wenyan Yang
, Dingding Cai
, Christoph Mayer
, Gustavo Fernández
, Kang Ben

Goutam Bhat, Hong Chang, Guangqi Chen, Jiaye Chen, Shengyong Chen, Xilin Chen, Xin Chen, Xiuyi Chen, Yiwei Chen, Yu Hsi Chen, Zhixing Chen, Yangming Cheng, Angelo Ciaramella, Yutao Cui, Benjamin Džubur, Mohana Murali Dasari, Qili Deng, Debajyoti Dhar, Shangzhe Di, Emanuel Di Nardo, Daniel K. Du, Matteo Dunnhofer, Heng Fan, Zhenhua Feng, Zhihong Fu, Shang Gao, Rama Krishna Gorthi, Eric Granger, Q. H. Gu, Himanshu Gupta, Jianfeng He, Keji He, Yan Huang, Deepak Jangid, Rongrong Ji, Cheng Jiang, Yingjie Jiang, Felix Järemo Lawin, Ze Kang, Madhu Kiran, Josef Kittler, Simiao Lai, Xiangyuan Lan, Dongwook Lee, Hyunjeong Lee, Seohyung Lee, Hui Li, Ming Li, Wangkai Li, Xi Li, Xianxian Li, Xiao Li, Zhe Li, Liting Lin, Haibin Ling, Bo Liu, Chang Liu, Si Liu, Huchuan Lu, Rafael M.O. Cruz, Bingpeng Ma, Chao Ma, Jie Ma, Yinchao Ma, Niki Martinel, Alireza Memarmoghadam, Christian Micheloni, Payman Moallem, Le Thanh Nguyen-Meidine, Siyang Pan, Chang Beom Park, Danda Paudel, Matthieu Paul, Houwen Peng, Andreas Robinson, Litu Rout, Shiguang Shan, Kristian Simonato, Tianhui Song, Xiaoning Song, Chao Sun, Jingna Sun, Zhangyong Tang, Radu Timofte, Chi Yi Tsai, Luc Van Gool, Om Prakash Verma, Dong Wang, Fei Wang, Liang Wang, Liangliang Wang, Lijun Wang, Limin Wang, Qiang Wang, Gangshan Wu, Jinlin Wu, Xiaojun Wu, Fei Xie, Tianyang Xu, Wei Xu, Yong Xu, Yuanyou Xu, Wanli Xue, Zizheng Xun, Bin Yan, Dawei Yang, Jinyu Yang, Wankou Yang, Xiaoyun Yang, Yi Yang, Yichun Yang, Zongxin Yang, Botao Ye, Fisher Yu, Hongyuan Yu, Jiaqian Yu, Qianjin Yu, Weichen Yu, Kang Ze, Jiang Zhai, Chengwei Zhang, Chunhu Zhang, Kaihua Zhang, Tianzhu Zhang, Wenkang Zhang, Zhibin Zhang, Zhipeng Zhang, Jie Zhao, Shaochuan Zhao, Feng Zheng, Haixia Zheng, Min Zheng, Bineng Zhong, Jiawen Zhu, Xuefeng Zhu, Yueting Zhuang

^*Corresponding author for this work

School of Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

64 Citations (Scopus)

Abstract

The Visual Object Tracking challenge VOT2022 is the tenth annual tracker benchmarking activity organized by the VOT initiative. Results of 93 entries are presented; many are state-of-the-art trackers published at major computer vision conferences or in journals in recent years. The VOT2022 challenge was composed of seven sub-challenges focusing on different tracking domains: (i) VOT-STs2022 challenge focused on short-term tracking in RGB by segmentation, (ii) VOT-STb2022 challenge focused on short-term tracking in RGB by bounding boxes, (iii) VOT-RTs2022 challenge focused on “real-time” short-term tracking in RGB by segmentation, (iv) VOT-RTb2022 challenge focused on “real-time” short-term tracking in RGB by bounding boxes, (v) VOT-LT2022 focused on long-term tracking, namely coping with target disappearance and reappearance, (vi) VOT-RGBD2022 challenge focused on short-term tracking in RGB and depth imagery, and (vii) VOT-D2022 challenge focused on short-term tracking in depth-only imagery. New datasets were introduced in VOT-LT2022 and VOT-RGBD2022, VOT-ST2022 dataset was refreshed, and a training dataset was introduced for VOT-LT2022. The source code for most of the trackers, the datasets, the evaluation kit and the results are publicly available at the challenge website (http://votchallenge.net ).

Original language	English
Title of host publication	Computer Vision – ECCV 2022 Workshops, Proceedings
Editors	Leonid Karlinsky, Tomer Michaeli, Ko Nishino
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	431-460
Number of pages	30
ISBN (Print)	9783031250842
DOIs	https://doi.org/10.1007/978-3-031-25085-9_25
Publication status	Published - 2023
Event	Workshops held at the 17th European Conference on Computer Vision, ECCV 2022 - Tel Aviv, Israel Duration: 23-10-2022 → 27-10-2022

Publication series

Name	Lecture Notes in Computer Science
Volume	13808 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	Workshops held at the 17th European Conference on Computer Vision, ECCV 2022
Country/Territory	Israel
City	Tel Aviv
Period	23-10-22 → 27-10-22

All Science Journal Classification (ASJC) codes

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-031-25085-9_25

Cite this

Kristan, M., Leonardis, A., Matas, J., Felsberg, M., Pflugfelder, R., Kämäräinen, J. K., Chang, H. J., Danelljan, M., Zajc, L. Č., Lukežič, A., Drbohlav, O., Björklund, J., Zhang, Y., Zhang, Z., Yan, S., Yang, W., Cai, D., Mayer, C., Fernández, G., ... Zhuang, Y. (2023). The Tenth Visual Object Tracking VOT2022 Challenge Results. In L. Karlinsky, T. Michaeli, & K. Nishino (Eds.), Computer Vision – ECCV 2022 Workshops, Proceedings (pp. 431-460). (Lecture Notes in Computer Science; Vol. 13808 LNCS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-25085-9_25

@inproceedings{f61b9c9eccb646e3b06f09183b075dd1,

title = "The Tenth Visual Object Tracking VOT2022 Challenge Results",

abstract = "The Visual Object Tracking challenge VOT2022 is the tenth annual tracker benchmarking activity organized by the VOT initiative. Results of 93 entries are presented; many are state-of-the-art trackers published at major computer vision conferences or in journals in recent years. The VOT2022 challenge was composed of seven sub-challenges focusing on different tracking domains: (i) VOT-STs2022 challenge focused on short-term tracking in RGB by segmentation, (ii) VOT-STb2022 challenge focused on short-term tracking in RGB by bounding boxes, (iii) VOT-RTs2022 challenge focused on “real-time” short-term tracking in RGB by segmentation, (iv) VOT-RTb2022 challenge focused on “real-time” short-term tracking in RGB by bounding boxes, (v) VOT-LT2022 focused on long-term tracking, namely coping with target disappearance and reappearance, (vi) VOT-RGBD2022 challenge focused on short-term tracking in RGB and depth imagery, and (vii) VOT-D2022 challenge focused on short-term tracking in depth-only imagery. New datasets were introduced in VOT-LT2022 and VOT-RGBD2022, VOT-ST2022 dataset was refreshed, and a training dataset was introduced for VOT-LT2022. The source code for most of the trackers, the datasets, the evaluation kit and the results are publicly available at the challenge website (http://votchallenge.net ).",

author = "Matej Kristan and Ale{\v s} Leonardis and Ji{\v r}{\'i} Matas and Michael Felsberg and Roman Pflugfelder and K{\"a}m{\"a}r{\"a}inen, \{Joni Kristian\} and Chang, \{Hyung Jin\} and Martin Danelljan and Zajc, \{Luka {\v C}ehovin\} and Alan Luke{\v z}i{\v c} and Ondrej Drbohlav and Johanna Bj{\"o}rklund and Yushan Zhang and Zhongqun Zhang and Song Yan and Wenyan Yang and Dingding Cai and Christoph Mayer and Gustavo Fern{\'a}ndez and Kang Ben and Goutam Bhat and Hong Chang and Guangqi Chen and Jiaye Chen and Shengyong Chen and Xilin Chen and Xin Chen and Xiuyi Chen and Yiwei Chen and Chen, \{Yu Hsi\} and Zhixing Chen and Yangming Cheng and Angelo Ciaramella and Yutao Cui and Benjamin D{\v z}ubur and Dasari, \{Mohana Murali\} and Qili Deng and Debajyoti Dhar and Shangzhe Di and Nardo, \{Emanuel Di\} and Du, \{Daniel K.\} and Matteo Dunnhofer and Heng Fan and Zhenhua Feng and Zhihong Fu and Shang Gao and Gorthi, \{Rama Krishna\} and Eric Granger and Gu, \{Q. H.\} and Himanshu Gupta and Jianfeng He and Keji He and Yan Huang and Deepak Jangid and Rongrong Ji and Cheng Jiang and Yingjie Jiang and Lawin, \{Felix J{\"a}remo\} and Ze Kang and Madhu Kiran and Josef Kittler and Simiao Lai and Xiangyuan Lan and Dongwook Lee and Hyunjeong Lee and Seohyung Lee and Hui Li and Ming Li and Wangkai Li and Xi Li and Xianxian Li and Xiao Li and Zhe Li and Liting Lin and Haibin Ling and Bo Liu and Chang Liu and Si Liu and Huchuan Lu and Cruz, \{Rafael M.O.\} and Bingpeng Ma and Chao Ma and Jie Ma and Yinchao Ma and Niki Martinel and Alireza Memarmoghadam and Christian Micheloni and Payman Moallem and Nguyen-Meidine, \{Le Thanh\} and Siyang Pan and Park, \{Chang Beom\} and Danda Paudel and Matthieu Paul and Houwen Peng and Andreas Robinson and Litu Rout and Shiguang Shan and Kristian Simonato and Tianhui Song and Xiaoning Song and Chao Sun and Jingna Sun and Zhangyong Tang and Radu Timofte and Tsai, \{Chi Yi\} and Gool, \{Luc Van\} and Verma, \{Om Prakash\} and Dong Wang and Fei Wang and Liang Wang and Liangliang Wang and Lijun Wang and Limin Wang and Qiang Wang and Gangshan Wu and Jinlin Wu and Xiaojun Wu and Fei Xie and Tianyang Xu and Wei Xu and Yong Xu and Yuanyou Xu and Wanli Xue and Zizheng Xun and Bin Yan and Dawei Yang and Jinyu Yang and Wankou Yang and Xiaoyun Yang and Yi Yang and Yichun Yang and Zongxin Yang and Botao Ye and Fisher Yu and Hongyuan Yu and Jiaqian Yu and Qianjin Yu and Weichen Yu and Kang Ze and Jiang Zhai and Chengwei Zhang and Chunhu Zhang and Kaihua Zhang and Tianzhu Zhang and Wenkang Zhang and Zhibin Zhang and Zhipeng Zhang and Jie Zhao and Shaochuan Zhao and Feng Zheng and Haixia Zheng and Min Zheng and Bineng Zhong and Jiawen Zhu and Xuefeng Zhu and Yueting Zhuang",

note = "Publisher Copyright: {\textcopyright} 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.; Workshops held at the 17th European Conference on Computer Vision, ECCV 2022 ; Conference date: 23-10-2022 Through 27-10-2022",

year = "2023",

doi = "10.1007/978-3-031-25085-9\_25",

language = "English",

isbn = "9783031250842",

series = "Lecture Notes in Computer Science",

publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "431--460",

editor = "Leonid Karlinsky and Tomer Michaeli and Ko Nishino",

booktitle = "Computer Vision – ECCV 2022 Workshops, Proceedings",

address = "Germany",

}

Kristan, M, Leonardis, A, Matas, J, Felsberg, M, Pflugfelder, R, Kämäräinen, JK, Chang, HJ, Danelljan, M, Zajc, LČ, Lukežič, A, Drbohlav, O, Björklund, J, Zhang, Y, Zhang, Z, Yan, S, Yang, W, Cai, D, Mayer, C, Fernández, G, Ben, K, Bhat, G, Chang, H, Chen, G, Chen, J, Chen, S, Chen, X, Chen, X, Chen, X, Chen, Y, Chen, YH, Chen, Z, Cheng, Y, Ciaramella, A, Cui, Y, Džubur, B, Dasari, MM, Deng, Q, Dhar, D, Di, S, Nardo, ED, Du, DK, Dunnhofer, M, Fan, H, Feng, Z, Fu, Z, Gao, S, Gorthi, RK, Granger, E, Gu, QH, Gupta, H, He, J, He, K, Huang, Y, Jangid, D, Ji, R, Jiang, C, Jiang, Y, Lawin, FJ, Kang, Z, Kiran, M, Kittler, J, Lai, S, Lan, X, Lee, D, Lee, H, Lee, S, Li, H, Li, M, Li, W, Li, X, Li, X, Li, X, Li, Z, Lin, L, Ling, H, Liu, B, Liu, C, Liu, S, Lu, H, Cruz, RMO, Ma, B, Ma, C, Ma, J, Ma, Y, Martinel, N, Memarmoghadam, A, Micheloni, C, Moallem, P, Nguyen-Meidine, LT, Pan, S, Park, CB, Paudel, D, Paul, M, Peng, H, Robinson, A, Rout, L, Shan, S, Simonato, K, Song, T, Song, X, Sun, C, Sun, J, Tang, Z, Timofte, R, Tsai, CY, Gool, LV, Verma, OP, Wang, D, Wang, F, Wang, L, Wang, L, Wang, L, Wang, L, Wang, Q, Wu, G, Wu, J, Wu, X, Xie, F, Xu, T, Xu, W, Xu, Y, Xu, Y, Xue, W, Xun, Z, Yan, B, Yang, D, Yang, J, Yang, W, Yang, X, Yang, Y, Yang, Y, Yang, Z, Ye, B, Yu, F, Yu, H, Yu, J, Yu, Q, Yu, W, Ze, K, Zhai, J, Zhang, C, Zhang, C, Zhang, K, Zhang, T, Zhang, W, Zhang, Z, Zhang, Z, Zhao, J, Zhao, S, Zheng, F, Zheng, H, Zheng, M, Zhong, B, Zhu, J, Zhu, X & Zhuang, Y 2023, The Tenth Visual Object Tracking VOT2022 Challenge Results. in L Karlinsky, T Michaeli & K Nishino (eds), Computer Vision – ECCV 2022 Workshops, Proceedings. Lecture Notes in Computer Science, vol. 13808 LNCS, Springer Science and Business Media Deutschland GmbH, pp. 431-460, Workshops held at the 17th European Conference on Computer Vision, ECCV 2022, Tel Aviv, Israel, 23-10-22. https://doi.org/10.1007/978-3-031-25085-9_25

The Tenth Visual Object Tracking VOT2022 Challenge Results. / Kristan, Matej; Leonardis, Aleš; Matas, Jiří et al.
Computer Vision – ECCV 2022 Workshops, Proceedings. ed. / Leonid Karlinsky; Tomer Michaeli; Ko Nishino. Springer Science and Business Media Deutschland GmbH, 2023. p. 431-460 (Lecture Notes in Computer Science; Vol. 13808 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - The Tenth Visual Object Tracking VOT2022 Challenge Results

AU - Kristan, Matej

AU - Leonardis, Aleš

AU - Matas, Jiří

AU - Felsberg, Michael

AU - Pflugfelder, Roman

AU - Kämäräinen, Joni Kristian

AU - Chang, Hyung Jin

AU - Danelljan, Martin

AU - Zajc, Luka Čehovin

AU - Lukežič, Alan

AU - Drbohlav, Ondrej

AU - Björklund, Johanna

AU - Zhang, Yushan

AU - Zhang, Zhongqun

AU - Yan, Song

AU - Yang, Wenyan

AU - Cai, Dingding

AU - Mayer, Christoph

AU - Fernández, Gustavo

AU - Ben, Kang

AU - Bhat, Goutam

AU - Chang, Hong

AU - Chen, Guangqi

AU - Chen, Jiaye

AU - Chen, Shengyong

AU - Chen, Xilin

AU - Chen, Xin

AU - Chen, Xiuyi

AU - Chen, Yiwei

AU - Chen, Yu Hsi

AU - Chen, Zhixing

AU - Cheng, Yangming

AU - Ciaramella, Angelo

AU - Cui, Yutao

AU - Džubur, Benjamin

AU - Dasari, Mohana Murali

AU - Deng, Qili

AU - Dhar, Debajyoti

AU - Di, Shangzhe

AU - Nardo, Emanuel Di

AU - Du, Daniel K.

AU - Dunnhofer, Matteo

AU - Fan, Heng

AU - Feng, Zhenhua

AU - Fu, Zhihong

AU - Gao, Shang

AU - Gorthi, Rama Krishna

AU - Granger, Eric

AU - Gu, Q. H.

AU - Gupta, Himanshu

AU - He, Jianfeng

AU - He, Keji

AU - Huang, Yan

AU - Jangid, Deepak

AU - Ji, Rongrong

AU - Jiang, Cheng

AU - Jiang, Yingjie

AU - Lawin, Felix Järemo

AU - Kang, Ze

AU - Kiran, Madhu

AU - Kittler, Josef

AU - Lai, Simiao

AU - Lan, Xiangyuan

AU - Lee, Dongwook

AU - Lee, Hyunjeong

AU - Lee, Seohyung

AU - Li, Hui

AU - Li, Ming

AU - Li, Wangkai

AU - Li, Xi

AU - Li, Xianxian

AU - Li, Xiao

AU - Li, Zhe

AU - Lin, Liting

AU - Ling, Haibin

AU - Liu, Bo

AU - Liu, Chang

AU - Liu, Si

AU - Lu, Huchuan

AU - Cruz, Rafael M.O.

AU - Ma, Bingpeng

AU - Ma, Chao

AU - Ma, Jie

AU - Ma, Yinchao

AU - Martinel, Niki

AU - Memarmoghadam, Alireza

AU - Micheloni, Christian

AU - Moallem, Payman

AU - Nguyen-Meidine, Le Thanh

AU - Pan, Siyang

AU - Park, Chang Beom

AU - Paudel, Danda

AU - Paul, Matthieu

AU - Peng, Houwen

AU - Robinson, Andreas

AU - Rout, Litu

AU - Shan, Shiguang

AU - Simonato, Kristian

AU - Song, Tianhui

AU - Song, Xiaoning

AU - Sun, Chao

AU - Sun, Jingna

AU - Tang, Zhangyong

AU - Timofte, Radu

AU - Tsai, Chi Yi

AU - Gool, Luc Van

AU - Verma, Om Prakash

AU - Wang, Dong

AU - Wang, Fei

AU - Wang, Liang

AU - Wang, Liangliang

AU - Wang, Lijun

AU - Wang, Limin

AU - Wang, Qiang

AU - Wu, Gangshan

AU - Wu, Jinlin

AU - Wu, Xiaojun

AU - Xie, Fei

AU - Xu, Tianyang

AU - Xu, Wei

AU - Xu, Yong

AU - Xu, Yuanyou

AU - Xue, Wanli

AU - Xun, Zizheng

AU - Yan, Bin

AU - Yang, Dawei

AU - Yang, Jinyu

AU - Yang, Wankou

AU - Yang, Xiaoyun

AU - Yang, Yi

AU - Yang, Yichun

AU - Yang, Zongxin

AU - Ye, Botao

AU - Yu, Fisher

AU - Yu, Hongyuan

AU - Yu, Jiaqian

AU - Yu, Qianjin

AU - Yu, Weichen

AU - Ze, Kang

AU - Zhai, Jiang

AU - Zhang, Chengwei

AU - Zhang, Chunhu

AU - Zhang, Kaihua

AU - Zhang, Tianzhu

AU - Zhang, Wenkang

AU - Zhang, Zhibin

AU - Zhang, Zhipeng

AU - Zhao, Jie

AU - Zhao, Shaochuan

AU - Zheng, Feng

AU - Zheng, Haixia

AU - Zheng, Min

AU - Zhong, Bineng

AU - Zhu, Jiawen

AU - Zhu, Xuefeng

AU - Zhuang, Yueting

PY - 2023

Y1 - 2023

N2 - The Visual Object Tracking challenge VOT2022 is the tenth annual tracker benchmarking activity organized by the VOT initiative. Results of 93 entries are presented; many are state-of-the-art trackers published at major computer vision conferences or in journals in recent years. The VOT2022 challenge was composed of seven sub-challenges focusing on different tracking domains: (i) VOT-STs2022 challenge focused on short-term tracking in RGB by segmentation, (ii) VOT-STb2022 challenge focused on short-term tracking in RGB by bounding boxes, (iii) VOT-RTs2022 challenge focused on “real-time” short-term tracking in RGB by segmentation, (iv) VOT-RTb2022 challenge focused on “real-time” short-term tracking in RGB by bounding boxes, (v) VOT-LT2022 focused on long-term tracking, namely coping with target disappearance and reappearance, (vi) VOT-RGBD2022 challenge focused on short-term tracking in RGB and depth imagery, and (vii) VOT-D2022 challenge focused on short-term tracking in depth-only imagery. New datasets were introduced in VOT-LT2022 and VOT-RGBD2022, VOT-ST2022 dataset was refreshed, and a training dataset was introduced for VOT-LT2022. The source code for most of the trackers, the datasets, the evaluation kit and the results are publicly available at the challenge website (http://votchallenge.net ).

AB - The Visual Object Tracking challenge VOT2022 is the tenth annual tracker benchmarking activity organized by the VOT initiative. Results of 93 entries are presented; many are state-of-the-art trackers published at major computer vision conferences or in journals in recent years. The VOT2022 challenge was composed of seven sub-challenges focusing on different tracking domains: (i) VOT-STs2022 challenge focused on short-term tracking in RGB by segmentation, (ii) VOT-STb2022 challenge focused on short-term tracking in RGB by bounding boxes, (iii) VOT-RTs2022 challenge focused on “real-time” short-term tracking in RGB by segmentation, (iv) VOT-RTb2022 challenge focused on “real-time” short-term tracking in RGB by bounding boxes, (v) VOT-LT2022 focused on long-term tracking, namely coping with target disappearance and reappearance, (vi) VOT-RGBD2022 challenge focused on short-term tracking in RGB and depth imagery, and (vii) VOT-D2022 challenge focused on short-term tracking in depth-only imagery. New datasets were introduced in VOT-LT2022 and VOT-RGBD2022, VOT-ST2022 dataset was refreshed, and a training dataset was introduced for VOT-LT2022. The source code for most of the trackers, the datasets, the evaluation kit and the results are publicly available at the challenge website (http://votchallenge.net ).

UR - https://www.scopus.com/pages/publications/85151355577

UR - https://www.scopus.com/pages/publications/85151355577#tab=citedBy

U2 - 10.1007/978-3-031-25085-9_25

DO - 10.1007/978-3-031-25085-9_25

M3 - Conference contribution

AN - SCOPUS:85151355577

SN - 9783031250842

T3 - Lecture Notes in Computer Science

SP - 431

EP - 460

BT - Computer Vision – ECCV 2022 Workshops, Proceedings

A2 - Karlinsky, Leonid

A2 - Michaeli, Tomer

A2 - Nishino, Ko

PB - Springer Science and Business Media Deutschland GmbH

T2 - Workshops held at the 17th European Conference on Computer Vision, ECCV 2022

Y2 - 23 October 2022 through 27 October 2022

ER -

Kristan M, Leonardis A, Matas J, Felsberg M, Pflugfelder R, Kämäräinen JK et al. The Tenth Visual Object Tracking VOT2022 Challenge Results. In Karlinsky L, Michaeli T, Nishino K, editors, Computer Vision – ECCV 2022 Workshops, Proceedings. Springer Science and Business Media Deutschland GmbH. 2023. p. 431-460. (Lecture Notes in Computer Science). doi: 10.1007/978-3-031-25085-9_25

The Tenth Visual Object Tracking VOT2022 Challenge Results

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