Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Anton Varfolomieiev"'
Autor:
Anton Varfolomieiev
Publikováno v:
Journal of Real-Time Image Processing. 18:233-243
The study proposes the improvements for visual object trackers based on discriminative correlation filters. These improvements consist in the development of the channel-independent spatially regularized method for filter calculation, which is based o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c98a7c427c1d41f9d286766ef718c0d0
https://doi.org/10.1007/s11554-020-00967-y
https://doi.org/10.1007/s11554-020-00967-y
Autor:
Oleksandr Ihorovych Antoniuk, Tymofii Andriiovych Khodniev, Anton Varfolomieiev, Oleksandr Mykolaiovych Lysenko
Publikováno v:
Microsystems, Electronics and Acoustics. 23:29-33
The paper presents the evolution of the previously proposed model for estimating the communication path utilization efficiency. The improved model allows to explicitly take into account the errors occurring in the communication path during data strea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7f449b782885c270f55d3b8e4414f887
https://doi.org/10.20535/2523-4455.2018.23.6.154720
https://doi.org/10.20535/2523-4455.2018.23.6.154720
Autor:
Shohreh Kasaei, Shaochuan Zhao, Zhen-Hua Feng, Shuhao Chen, Xiaojun Wu, Rama Krishna Sai Subrahmanyam Gorthi, Jianlong Fu, Gustavo Fernandez, Wei Lu, Roman Pflugfelder, Haibin Ling, Yuzhang Gu, Kenan Dai, Hui Li, Martin Danelljan, Felix Järemo Lawin, Jiaqian Yu, Xiaoyun Yang, Yingming Wang, Jinyu Yang, Yuncon Yao, Gian Luca Foresti, Bedirhan Uzun, Xue-Feng Zhu, Heng Fan, Haoran Bai, Houqiang Li, Alexander G. Hauptmann, Thomas B. Schön, Guangqi Chen, Mohana Murali Dasari, Ziang Ma, Pengyu Zhang, Joni-Kristian Kamarainen, Dong Wang, Yunsung Lee, Fei Wang, Fredrik K. Gustafsson, Bin Yan, Ondrej Drbohlav, Song Yan, Fei Xie, Linyuan Wang, Michael Felsberg, Alan Lukežič, Christian Micheloni, Wengang Zhou, Yingjie Jiang, Kaicheng Yu, Chen Qian, Yu Ye, Haojie Zhao, Seyed Mojtaba Marvasti-Zadeh, Huchuan Lu, Bing Li, Jingtao Xu, Jesús Bescós, Matej Kristan, Tianyang Xu, Yushan Zhang, Hasan Saribas, Linbo He, Xiaolin Zhang, Kaiwen Liu, Jun Yin, Lijun Wang, Hakan Cevikalp, Alireza Memarmoghadam, Seokeon Choi, Alvaro Garcia-Martin, Awet Haileslassie Gebrehiwot, Zezhou Wang, Junhyun Lee, Ning Wang, Luca Bertinetto, Hari Chandana Kuchibhotla, Javad Khaghani, Anton Varfolomieiev, Luc Van Gool, Jiří Matas, Josef Kittler, Kang Yang, Xi Qiu, Philip H. S. Torr, Haitao Zhang, Xiao Ke, Ales Leonardis, Weiming Hu, Radu Timofte, Chi-Yi Tsai, Shoumeng Qiu, Zhipeng Zhang, Hossein Ghanei-Yakhdan, Houwen Peng, Luka Čehovin Zajc, Qiang Wang, Andreas Robinson, Matteo Dunnhofer, Yiwei Chen, Zhirong Wu, Jianhua Li, Miao Cheng, Yuezhou Li, Goutam Bhat, Zhijun Mai, Zhangyong Tang, Li Zhang, Li Cheng
Publikováno v:
Computer Vision – ECCV 2020 Workshops ISBN: 9783030682378
ECCV Workshops (5)
ECCV Workshops (5)
The Visual Object Tracking challenge VOT2020 is the eighth annual tracker benchmarking activity organized by the VOT initiative. Results of 58 trackers are presented; many are state-of-the-art trackers published at major computer vision conferences o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::722c41ae8bc63845cb1731bcc91fd851
http://hdl.handle.net/11390/1205562
http://hdl.handle.net/11390/1205562
Autor:
Oleksandr Mykolaiovych Lysenko, Anton Varfolomieiev, Oleksandr I. Antonyuk, Tymofii Andriiovych Khodniev
Publikováno v:
2018 International Conference on Information and Telecommunication Technologies and Radio Electronics (UkrMiCo).
In present study we estimate the communication path utilization efficiency for the RTSP and GigE Vision streaming technology in form of coefficient and thereafter use it to compare those technologies. Our findings suggest that GigE Vision technology
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a547ef09a1e141bb62415bae3885df9e
https://doi.org/10.1109/ukrmico43733.2018.9047531
https://doi.org/10.1109/ukrmico43733.2018.9047531
Autor:
Oleksandr Lysenko, Anton Varfolomieiev
Publikováno v:
2017 IEEE First Ukraine Conference on Electrical and Computer Engineering (UKRCON).
We propose a simple way to broaden objects search area for tracking methods based on discriminative correlation filter using two window functions of different bandwidth. Testing at the VOT-2016 Challenge confirmed that this approach provided higher r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c73ba1be4b3b87c1a8db7972143ea09a
https://doi.org/10.1109/ukrcon.2017.8100430
https://doi.org/10.1109/ukrcon.2017.8100430
Autor:
Oleksandr Lysenko, Anton Varfolomieiev
Publikováno v:
Journal of Real-Time Image Processing. 11:527-534
An improved algorithm of median flow used for visual object tracking is described. The improvement consists in adaptive selection of aperture window size and number of pyramid levels at optical flow estimation. It can increase the tracking efficiency
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4a001b269b2d81567b10910cad492b4e
https://doi.org/10.1007/s11554-013-0354-1
https://doi.org/10.1007/s11554-013-0354-1
Autor:
Anton Varfolomieiev, Oleksandr Lysenko
Publikováno v:
2016 International Conference Radio Electronics & Info Communications (UkrMiCo).
This paper presents an improved kernelized correlation filters method for implementation on embedded hardware platforms. A software realization of the improved tracking method is developed and tested. The proposed method implemented on a personal com
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ed9f4632251e968e9e29e65ffd788a3d
https://doi.org/10.1109/ukrmico.2016.7739644
https://doi.org/10.1109/ukrmico.2016.7739644
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
Autor:
Anton Varfolomieiev, Oleksandr Lysenko
Publikováno v:
2012 5th European DSP Education and Research Conference (EDERC).
An improved algorithm of median flow used for visual object tracking is described. The improvement consists in adaptive selection of aperture window size and number of pyramid levels at optical flow estimation. It can increase the tracking efficiency
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e4924f2b4b4be1a148b9e12daa1e3a7f
https://doi.org/10.1109/ederc.2012.6532268
https://doi.org/10.1109/ederc.2012.6532268