Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Karel Lebeda"'
Publikováno v:
IEEE Transactions on Image Processing. 26:4378-4388
Significant effort has been devoted within the visual tracking community to rapid learning of object properties on the fly. However, state-of-the-art approaches still often fail in cases such as rapid out-of-plane rotation, when the appearance change
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::99bd06161adc12b8a63bf710b184e149
https://doi.org/10.1109/tip.2017.2675343
https://doi.org/10.1109/tip.2017.2675343
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
Scene understanding cues help stereo reconstruction.We integrate standard bottom-up reconstruction and top-down understanding.We demonstrate integration of top-down cues with 3 state-of-the-art approaches.We evaluate on Middlebury 2014 and KITTI and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::69969ab27bed09cfc2fd547e947fcfbf
https://surrey.eprints-hosting.org/811596/
https://surrey.eprints-hosting.org/811596/
Autor:
Karel Lebeda
Publikováno v:
Karel Lebeda
Visual tracking of unknown objects in unconstrained video-sequences is extremely challenging due to a number of unsolved issues. This thesis explores several of these and examines possible approaches to tackle them. The unconstrained nature of real-w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::8f31fa0ee36e3c1936e547b79babb8f1
https://surrey.eprints-hosting.org/811206/
https://surrey.eprints-hosting.org/811206/
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319494081
ECCV Workshops (3)
ECCV Workshops (3)
In this work we describe a novel approach to online dense non rigid structure from motion. The problem is reformulated incorporating ideas from visual object tracking to provide a more general and unified technique with feedback between the reconstru
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::12681e0260ebcc0b5c1d38efcc0e50e4
https://doi.org/10.1007/978-3-319-49409-8_50
https://doi.org/10.1007/978-3-319-49409-8_50
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
Autor:
Jiří Matas, Gao Zhu, Alvaro Garcia-Martin, Wenbo Li, Michael Felsberg, Shengkun Li, Karel Lebeda, Horst Bischof, Wolfgang Hübner, Anton Varfolomieiev, Michael Arens, Tomas Vojir, Aykut Erdem, Chang-Ming Chang, Zhenyu He, Jiayi Feng, Andres Solis Montero, Mario Edoardo Maresca, Rafael Martin-Nieto, Mahdieh Poostchi, Abdelrahman Eldesokey, Yang Li, Philip H. S. Torr, Xin Li, Erkut Erdem, Fatih Porikli, Jianke Zhu, Fei Zhao, Simon Hadfield, Shizeng Yao, Ming Tang, Amanda Berg, Ales Leonardis, Matej Kristan, Sebastian B. Krah, Honggang Qi, Jochen Lang, Hongdong Li, Gustav Häger, Luca Bertinetto, Longyin Wen, Rengarajan Pelapur, Dawei Du, Noor M. Al-Shakarji, Bohyung Han, Stefan Becker, Alan Lukežič, Luka Cehovin, Stuart Golodetz, Osman Akin, Krystian Mikolajczyk, Filiz Bunyak, Vincenzo Santopietro, Alfredo Petrosino, Roman Pflugfelder, Guna Seetharaman, Mooyeol Baek, Fahad Shahbaz Khan, Ke Gao, Martin Danelljan, Hyeonseob Nam, Kannappan Palaniappan, Jack Valmadre, Qingming Huang, Tao Hu, Zhan Xu, Ondrej Miksik, José M. Martínez, Gustavo Fernandez, Jörgen Ahlberg, Richard Bowden, Horst Possegger, Nana Fan, Francesco Battistone, Siwei Lyu, Robert Laganiere, Thomas Mauthner
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319488806
ECCV Workshops (2)
ECCV Workshops (2)
The Thermal Infrared Visual Object Tracking challenge 2016, VOT-TIR2016, aims at comparing short-term single-object visual trackers that work on thermal infrared (TIR) sequences and do not apply pre-learned models of object appearance. VOT-TIR2016 is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::50750d4f41dc4feeea46a28a829cfd9d
http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-133773
http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-133773
Publikováno v:
ICCV
Causal relationships can often be found in visual object tracking between the motions of the camera and that of the tracked object. This object motion may be an effect of the camera motion, e.g. an unsteady handheld camera. But it may also be the cau
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f0f06e3ea58eeff563f4879a9cd4d89d
https://surrey.eprints-hosting.org/808988/
https://surrey.eprints-hosting.org/808988/
Publikováno v:
ICCV Workshops
Although 3D reconstruction from a monocular video has been an active area of research for a long time, and the resulting models offer great realism and accuracy, strong conditions must be typically met when capturing the video to make this possible.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2a72c9337d56ed42908bf349f169a0a4
https://surrey.eprints-hosting.org/810268/
https://surrey.eprints-hosting.org/810268/
Long-term tracking of an object, given only a single instance in an initial frame, remains an open problem. We propose a visual tracking algorithm, robust to many of the difficulties that often occur in real-world scenes. Correspondences of edge-base
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b2731e879529788b124f63a7c37020e9
https://surrey.eprints-hosting.org/809380/
https://surrey.eprints-hosting.org/809380/