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Improving Multiple Object Tracking with Single Object Tracking
2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021Despite considerable similarities between multiple object tracking (MOT) and single object tracking (SOT) tasks, modern MOT methods have not benefited from the development of SOT ones to achieve satisfactory performance. The major reason for this situation is that it is inappropriate and inefficient to apply multiple SOT models directly to the MOT task,
Linyu Zheng +5 more
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Single Object Tracking Applied to an Aircraft
2018 15th International Multi-Conference on Systems, Signals & Devices (SSD), 2018Tracking has recently become one of the most interesting and most active research fields. Tracking object consists in estimating the state of the object in function of time. This operation is based on largely developed filtering techniques. It is possible to classify tracking into Single Object Tracking and Multiple Object Tracking.
Ameni Ellouze +3 more
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Reactive Object Tracking with a Single PTZ Camera
2010 20th International Conference on Pattern Recognition, 2010In this paper we describe a novel approach to reactive tracking of moving targets with a pan-tilt-zoom camera. The approach uses an extended Kalman filter to jointly track the object position in the real world, its velocity in 3D and the camera intrinsics, in addition to the rate of change of these parameters.
Murad Al Haj +3 more
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Towards Universal Physical Attacks on Single Object Tracking
Proceedings of the AAAI Conference on Artificial Intelligence, 2021Recent studies show that small perturbations in video frames could misguide single object trackers. However, such attacks have been mainly designed for digital-domain videos (i.e., perturbation on full images), which makes them practically infeasible to evaluate the adversarial vulnerability of trackers in real-world scenarios.
Li Ding +6 more
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Multi-Object Tracking with Single Camera
Applied Mechanics and Materials, 2015Multi-object tracking has been a challenging topic in computer vision. A Simple and efficient moving multi-object tracking algorithm is proposed. A new tracking method combined with trajectory prediction and a sub-block matching is used to handle the objects occlusion. The experimental results show that the proposed algorithm has good performance.
Yu Bing Dong, Ying Sun, Ming Jing Li
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A Method of Stable Long-Term Single Object Tracking
2021 IEEE International Conference on Multimedia and Expo (ICME), 2021We propose a stable long-term tracking method to deal with visual tracking in multiple complex scenarios to solve the problem of frequent disappearance and reappearance of targets in long-term tracking. In our method, we do not blindly start the global tracker once the target disappears, but use it only when necessary and in reasonable scope with the ...
Zitong Yi +4 more
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Robust Single Object Tracking and Following by Fusion Strategy
Proceedings of the 20th International Conference on Informatics in Control, Automation and Robotics, 2023Single Object Tracking methods are yet not robust enough because they may lose the target due to occlusions or changes in the target’s appearance, and it is difficult to detect automatically when they fail. To deal with these problems, we design a novel method to improve object tracking by fusing complementary types of trackers, taking advantage of ...
Alejandro Olivas +3 more
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Single online visual object tracking with enhanced tracking and detection learning
Multimedia Tools and Applications, 2018Single online visual object tracking has been an active research topic for its wide application on various tasks. In this paper, a new framework and related approaches are proposed to solve this problem consisting of enhanced tracking and detection learning.
Yang Yi 0003, Liping Luo, Zhenxian Zheng
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ClickTrack: Towards real-time interactive single object tracking
Pattern RecognitionSingle object tracking(SOT) relies on precise object bounding box initialization. In this paper, we reconsidered the deficiencies in the current approaches to initializing single object trackers and propose a new paradigm for single object tracking algorithms, ClickTrack, a new paradigm using clicking interaction for real-time scenarios.
Kuiran Wang, Xuehui Yu, Wenwen Yu
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