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The Seventh Visual Object Tracking VOT2019 Challenge Results

Matej Kristan, Amanda Berg, Linyu Zheng, Litu Rout, Luc Van Gool, Luca Bertinetto, Martin Danelljan, Matteo Dunnhofer, Meng Ni, Min Young Kim, Ming Tang, Ming-Hsuan Yang (+169 others)
2019 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW)  
The Visual Object Tracking challenge VOT2019 is the seventh annual tracker benchmarking activity organized by the VOT initiative.  ...  The VOT2019 challenge was composed of five challenges focusing on different tracking domains: (i) VOT-ST2019 challenge focused on short-term tracking in RGB, (ii) VOT-RT2019 challenge focused on "real-time  ...  The SiamM Ds tracker is a modified version of SiamMask [96] to track objects in RGB and Depth images. SiamMask produces segmentation on the tracking target.  ... 
doi:10.1109/iccvw.2019.00276 dblp:conf/iccvw/KristanBZRGBDDN19 fatcat:ogwxim7cgjanxiwq7dddqs66gy

Is First Person Vision Challenging for Object Tracking? [article]

Matteo Dunnhofer, Antonino Furnari, Giovanni Maria Farinella, Christian Micheloni
2021 arXiv   pre-print
Our results show that object tracking in FPV is challenging, which suggests that more research efforts should be devoted to this problem so that tracking could benefit FPV tasks.  ...  Visual tracking solutions available in the computer vision literature have significantly improved their performance in the last years for a large variety of target objects and tracking scenarios.  ...  The Seventh Visual Ob- into first-person activity recognition. In Proceedings of the ject Tracking VOT2019 Challenge Results.  ... 
arXiv:2108.13665v1 fatcat:hexje3x6t5cdpbmj4l26m5h3lq

Real-Time Processing of High-Resolution Video and 3D Model-Based Tracking for Remote Towers

Oliver J. D. Barrowclough, Sverre Briseid, Georg Muntingh, Torbjørn Viksand
2020 SN Computer Science  
It is thus a challenge to efficiently process all the data in such a way as to provide relevant real-time enhancements to the controller.  ...  The total resolution of a typical remote tower setup often exceeds 25 million RGB pixels and is captured at 30 frames per second or more.  ...  We also express our gratitude to the four ATCOs from the COOPANS partnership for their valuable feedback. Funding Open Access funding provided by SINTEF AS.  ... 
doi:10.1007/s42979-020-00304-x fatcat:i6slv2i53ze3vhqamadg3mi3hu

Space Non-cooperative Object Active Tracking with Deep Reinforcement Learning [article]

Dong Zhou, Guanghui Sun, Wenxiao Lei
2021 arXiv   pre-print
Active visual tracking of space non-cooperative object is significant for future intelligent spacecraft to realise space debris removal, asteroid exploration, autonomous rendezvous and docking.  ...  To this end, we propose an end-to-end active visual tracking method based on DQN algorithm, named as DRLAVT.  ...  Felsberg, and et al., “The Seventh Visual Object Tracking VOT2019 Challenge Results,” Proc. IEEE/CVF Int. Conf. Comput. Vis. Work., 2019. [37] A. Krizhevsky, I. Sutskever, and G.  ... 
arXiv:2112.09854v1 fatcat:ok3uvhfkojhrnfw4gijidhscgq

AICO, Artificial Intelligent COach

Vicent Sanz Marco, Norimichi Ukita, Natsuko Kobayashi, Morito Matsuoka
2020 Journal of WSCG  
Tracking every player of the last recorded matches of the opponent team, AICO learns the strategies used by them and then calculates how successfully their own defensive strategies will perform against  ...  Choosing effective strategies before playing against an opponent team is a laborious task and one of the main challenges that American football coaches have to cope with.  ...  After having these ground truth videos, we have tested the following trackers from the seventh visual object tracking vot2019 challenge [Kri19]: ATOM, DIMP, SiamRPN++, GradNet and ASRCF.  ... 
doi:10.24132/jwscg.2020.28.4 fatcat:5jwchapkc5g55gp2lzjpee4nsu

RFN-Nest: An end-to-end residual fusion network for infrared and visible images [article]

Hui Li, Xiao-Jun Wu, Josef Kittler
2021 pre-print
subjective and objective evaluation.  ...  Thus, devising learnable fusion strategy is a very challenging problem in the community of image fusion.  ...  tracking results obtained on the VOT2019-RGBT dataset.  ... 
doi:10.1016/j.inffus.2021.02.023 arXiv:2103.04286v1 fatcat:akla65qmunfrnpkbxglsbenq2m

Embedded Object Detection with Custom LittleNet, FINN and Vitis AI DCNN Accelerators

Michal Machura, Michal Danilowicz, Tomasz Kryjak
2022 Journal of Low Power Electronics and Applications  
We evaluate the approaches in terms of object detection accuracy, throughput and energy usage on the VOT and VTB datasets. We also present the limitations of each of the methods considered.  ...  Object detection is an essential component of many systems used, for example, in advanced driver assistance systems (ADAS) or advanced video surveillance systems (AVSS).  ...  Acknowledgments: The authors also thank the Academic Computer Centre CYFRONET AGH for providing access to the Prometheus computing cluster.  ... 
doi:10.3390/jlpea12020030 fatcat:tjo6vs33arantjikzkjiln5q7a