Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Tomas Vojir"'
Autor:
Tomas Vojir, Jiri Matas
Publikováno v:
2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::affa678d460441972ca8ce7f37ab296e
https://doi.org/10.1109/wacv56688.2023.00545
https://doi.org/10.1109/wacv56688.2023.00545
Publikováno v:
2021 IEEE/CVF International Conference on Computer Vision (ICCV).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1cb2eeed64e81a642c422756b08bafee
https://doi.org/10.1109/iccv48922.2021.01536
https://doi.org/10.1109/iccv48922.2021.01536
Publikováno v:
Computer Vision – ACCV 2020 ISBN: 9783030695347
ACCV (3)
ACCV (3)
With the emergence of autonomous navigation systems, image-based localization is one of the essential tasks to be tackled. However, most of the current algorithms struggle to scale to city-size environments mainly because of the need to collect large
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::64d1e8fe09a500512eb31810989f743e
https://doi.org/10.1007/978-3-030-69535-4_17
https://doi.org/10.1007/978-3-030-69535-4_17
Publikováno v:
IEEE transactions on cybernetics. 51(12)
A long-term visual object tracking performance evaluation methodology and a benchmark are proposed. Performance measures are designed by following a long-term tracking definition to maximize the analysis probing strength. The new measures outperform
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::570ea0938995fa3a24c40825e7dbf89d
https://pubmed.ncbi.nlm.nih.gov/32248144
https://pubmed.ncbi.nlm.nih.gov/32248144
Autor:
Houqiang Li, Huchuan Lu, Siwen Wang, Rafael Martin-Nieto, Efstratios Gavves, Feng Li, Manqiang Che, Erhan Gundogdu, Priya Mariam Raju, Xiaofan Zhang, Roman Pflugfelder, Yan Lu, Xinmei Tian, Martin Danelljan, Deepak Mishra, Guilherme Sousa Bastos, Honggang Zhang, Heng Fan, Mohamed H. Abdelpakey, Zhen-Hua Feng, Wang Wei, Andrej Muhič, Wengang Zhou, Deming Chen, Haojie Zhao, Sihang Wu, Richard M. Everson, Junfei Zhuang, Qin Zhou, Myunggu Kang, Abel Gonzalez-Garcia, Pablo Vicente-Moñivar, Richard Bowden, Horst Possegger, Yicai Yang, Andrea Vedaldi, Jaime Spencer Martin, Jongwon Choi, Yunhua Zhang, Yiannis Demiris, Seokeon Choi, Alireza Memarmoghadam, Wangmeng Zuo, Changzhen Xiong, Yuxuan Sun, Daijin Kim, Yuhong Li, Qing Guo, Tang Ming, Arnold W. M. Smeulders, Hamed Kiani Galoogahi, Zhihui Wang, Asanka G. Perera, Fahad Shahbaz Khan, George De Ath, Shuangping Huang, Qian Ruihe, Philip H. S. Torr, Haojie Li, Zhiqun He, João F. Henriques, Namhoon Lee, Chong Sun, Jorge Rodríguez Herranz, Vincenzo Santopietro, Lijun Wang, Qiang Wang, Gustavo Fernandez, Shuai Bai, Weiming Hu, Ondrej Miksik, Dongyoon Wee, Xiaohe Wu, Goutam Bhat, Yifan Jiao, A. Aydin Alatan, Alfredo Petrosino, Ran Tao, Tianyang Xu, Sergio Vivas, Cheng Tian, Yee Wei Law, Wei Feng, José M. Martínez, Luca Bertinetto, Runling Wang, Liu Si, Tianzhu Zhang, Tomas Vojir, Mario Edoardo Maresca, Lichao Zhang, Changick Kim, Luka Čehovin Zajc, Lingxiao Yang, Yan Li, Javaan Chahl, Simon Hadfield, Chong Luo, Jiří Matas, Ales Leonardis, Jack Valmadre, Pedro Senna, Josef Kittler, Klemen Grm, Cong Hao, Haibin Ling, Isabela Drummond, Zheng Zhang, Fan Yang, Joakim Johnander, Tobias Fischer, Gorthi R. K. Sai Subrahmanyam, Jinyoung Sung, Jin-Young Choi, Bo Li, Hui Zhi, Álvaro Iglesias-Arias, Joost van de Weijer, Hyung Jin Chang, Jinqing Qi, Michael Felsberg, Francesco Battistone, Sangdoo Yun, Wei Zou, Huiyun Li, Boyu Chen, Zheng Zhu, Jing Li, Abdelrahman Eldesokey, Litu Rout, Matej Kristan, Mohamed Shehata, Fei Zhao, Changsheng Xu, Alan Lukežič, Yi Wu, Wenjun Zeng, Lutao Chu, Vitomir Struc, Stuart Golodetz, Alvaro Garcia-Martin, Dong Wang, Junyu Gao, Hankyeol Lee, Hyemin Lee, Ning Wang, Wei Wu, Anfeng He, Xiaojun Wu, Rama Krishna Sai Subrahmanyam Gorthi, Payman Moallem, Peixia Li, Jinqiao Wang, Erik Velasco-Salido, Ming-Hsuan Yang
Publikováno v:
European Conference on Computer Vision
Lecture Notes in Computer Science ISBN: 9783030110086
ECCV Workshops (1)
Lecture Notes in Computer Science ISBN: 9783030110086
ECCV Workshops (1)
The Visual Object Tracking challenge VOT2018 is the sixth annual tracker benchmarking activity organized by the VOT initiative. Results of over eighty trackers are presented; many are state-of-the-art trackers published at major computer vision confe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a449874fbb7a60c1bc50564cd356140f
http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-161343
http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-161343
Autor:
Ales Leonardis, Fatih Porikli, Matej Kristan, Gustavo Fernandez, Georg Nebehay, Roman Pflugfelder, Luka Cehovin, Tomas Vojir, Jiri Matas
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence. 38:2137-2155
This paper addresses the problem of single-target tracker performance evaluation. We consider the performance measures, the dataset and the evaluation system to be the most important components of tracker evaluation and propose requirements for each
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ab98ceb0c600ba2758c0ee17385422d2
https://doi.org/10.1109/tpami.2016.2516982
https://doi.org/10.1109/tpami.2016.2516982
Autor:
Ruxandra Tapu, Tianzhu Zhang, Jaeil Cho, Dalong Du, Philip H. S. Torr, Kris M. Kitani, Deepak Mishra, Wenbing Tao, Fahad Shahbaz Khan, Luka Čehovin Zajc, Boyu Chen, Jae-chan Jeong, Andrea Vedaldi, Dawei Du, Jianke Zhu, Bogdan Mocanu, Weiming Hu, Alvaro Garcia-Martin, Jingyu Liu, João F. Henriques, Yang Li, Kai Chen, Junliang Xing, Luca Bertinetto, Chang Huang, Jiri Matas, Nianhao Xie, Risheng Liu, Payman Moallem, Guan Huang, Chong Sun, Qiang Wang, Roman Pflugfelder, David Zhang, Yifan Xing, Titus Zaharia, Gustavo Fernandez, Erhan Gundogdu, Karel Lebeda, Lingxiao Yang, Francesco Battistone, Guilherme Sousa Bastos, Junfei Zhuang, Matej Kristan, Zhipeng Zhang, Changsheng Xu, Vincenzo Santopietro, Matthias Mueller, Ning Wang, Ke Gao, Gustav Häger, Andrej Muhič, Pedro Senna, Richard Bowden, Wengang Zhou, Zhiqun He, Ming-Hsuan Yang, Qifeng Yu, Alireza Memarmoghadam, Jin Gao, Ondrej Miksik, Lei Zhang, Zheng Zhu, Alfredo Petrosino, Ales Leonardis, Tomas Vojir, Yingruo Fan, Siwei Lyu, Houqiang Li, Pallavi Venugopal M, Gorthi R. K. Sai Subrahmanyam, Longyin Wen, Xiao Bian, José M. Martínez, Antoine Tran, Michael Felsberg, Wei Zou, Wenbo Li, Jana Noskova, Sunglok Choi, Isabela Drummond, Xianguo Yu, Alan Lukezic, Stuart Golodetz, Abdelrahman Eldesokey, Lijun Wang, Erik Velasco-Salido, Huchuan Lu, Antoine Manzanera, Simon Hadfield, Ji-Wan Kim, Qingming Huang, Mengdan Zhang, Rafael Martin-Nieto, Goutam Bhat, Jae-Yeong Lee, Martin Danelljan, A. Aydin Alatan, Kannappan Palaniappan, Jack Valmadre, Guna Seetharaman, Junyu Gao, Hongliang Zhang, Mahdieh Poostchi
Publikováno v:
ICCV Workshops
The Visual Object Tracking challenge VOT2017 is the fifth annual tracker benchmarking activity organized by the VOT initiative. Results of 51 trackers are presented; many are state-of-the-art published at major computer vision conferences or journals
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f678b27c8d8099f3da3923b28010438b
https://doi.org/10.1109/iccvw.2017.230
https://doi.org/10.1109/iccvw.2017.230
Publikováno v:
Pattern Recognition Letters. 49:250-258
The mean-shift procedure is a popular object tracking algorithm since it is fast, easy to implement and performs well in a range of conditions. We address the problem of scale adaptation and present a novel theoretically justified scale estimation me
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::71fff0f3081da69d6fceb23082ebfa8e
https://doi.org/10.1016/j.patrec.2014.03.025
https://doi.org/10.1016/j.patrec.2014.03.025
Publikováno v:
CVPR
Short-term tracking is an open and challenging problem for which discriminative correlation filters (DCF) have shown excellent performance. We introduce the channel and spatial reliability concepts to DCF tracking and provide a novel learning algorit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::994a2ee1aaa0aad0f92b374a74426c88
http://arxiv.org/abs/1611.08461
http://arxiv.org/abs/1611.08461
Autor:
Shengkun Li, Karel Lebeda, Fei Zhao, Siyi Li, Jae-Yeong Lee, Martin Danelljan, Fahad Shahbaz Khan, Ming Tang, Chong Sun, João F. Henriques, Yang Li, Michel Valstar, A. Aydin Alatan, Yifan Wang, Henry Medeiros, Kannappan Palaniappan, Gustav Häger, Hongdong Li, Jae-chan Jeong, Shizeng Yao, Longyin Wen, Yuankai Qi, Zhizhen Chi, Jack Valmadre, Junyu Gao, Madan Kumar Rapuru, Mooyeol Baek, Chang-Ming Chang, Noor M. Al-Shakarji, Dawei Du, Bohyung Han, Jiayi Feng, Jochen Lang, Andrea Vedaldi, Hyemin Lee, Stefan Becker, Bernard Ghanem, Junliang Xing, Luca Bertinetto, Andreas Robinson, Michael Arens, Alan Lukežič, Gao Zhu, Wenbo Li, Stuart Golodetz, Jiří Matas, Alireza Memarmoghadam, Muhammad Haris Khan, Jingjing Xiao, Isabela Drummond, Tony P. Pridmore, Sunglok Choi, Ji-Wan Kim, Xin Li, Krystian Mikolajczyk, Payman Moallem, Mengdan Zhang, Osman Akin, Anton Varfolomieiev, Horst Bischof, Pedro Senna, Dapeng Chen, Filiz Bunyak, Sumithra Kakanuru, Lijun Wang, Alfredo Petrosino, Tomas Vojir, Philip H. S. Torr, Sebastian B. Krah, Yiannis Demiris, Honggang Qi, Mahdieh Poostchi, Lei Qin, Rustam Stolkin, Erhan Gundogdu, Wolfgang Hübner, Gorthi R. K. Sai Subrahmanyam, Naiyan Wang, Jianke Zhu, Jongwon Choi, Weiming Hu, Gustavo Fernandez, Mario Edoardo Maresca, Ales Leonardis, Pong C. Yuen, Richard Bowden, Horst Possegger, Matthias Mueller, Tao Hu, Giorgio Roffo, Simon Hadfield, Zhenyu He, Andres Solis Montero, Hyung Jin Chang, Alvaro Garcia-Martin, Luka Cehovin, Matej Kristan, Xiaomeng Wang, Ondrej Miksik, Changsheng Xu, Zhan Xu, Guna Seetharaman, Zejian Yuan, Huchuan Lu, José M. Martínez, Andy J. Ma, Xiangyuan Lan, Qingming Huang, Ryan Walsh, Aykut Erdem, Zexiong Cai, Jaeil Cho, Rafael Martin-Nieto, Deepak Mishra, Michael Felsberg, Simone Melzi, Abhinav Gupta, Erkut Erdem, Fatih Porikli, Vincenzo Santopietro, Roman Pflugfelder, Guilherme Sousa Bastos, Bin Liu, Thomas Mauthner, Daijin Kim, Ke Gao, Nana Fan, Rengarajan Pelapur, Jin-Young Choi, Shengping Zhang, Francesco Battistone, Siwei Lyu, Tianzhu Zhang, Dit-Yan Yeung, Brais Martinez, Jiyeoup Jeong, Jin Gao, Robert Laganiere, Hyeonseob Nam
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319488806
ECCV Workshops (2)
ECCV Workshops (2)
The Visual Object Tracking challenge VOT2016 aims at comparing short-term single-object visual trackers that do not apply pre-learned models of object appearance. Results of 70 trackers are presented, with a large number of trackers being published a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::953156f54fc532423c7361286005ed3a
http://hdl.handle.net/11562/961687
http://hdl.handle.net/11562/961687