Results 41 to 50 of about 438,335 (232)
Survey on Strategies for Solving Target Overlap Issues in Multi-Object Tracking [PDF]
ITM Web of ConferencesWith the development of artificial intelligence and related fields, technologies for image recognition and tracking objects have been continuously innovating. Starting from the initial single-object tracking, through numerous research improvements, multi-
Wang Sizhe
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Exemplar-based Linear Discriminant Analysis for Robust Object Tracking
, 2014 Tracking-by-detection has become an attractive tracking technique, which treats tracking as a category detection problem. However, the task in tracking is to search for a specific object, rather than an object category as in detection.
Chen, Feifei +4 more
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DroTrack: High-speed Drone-based Object Tracking Under Uncertainty
, 2020 We present DroTrack, a high-speed visual single-object tracking framework for drone-captured video sequences. Most of the existing object tracking methods are designed to tackle well-known challenges, such as occlusion and cluttered backgrounds.
Hamdi, Ali, Kim, Du Yong, Salim, Flora
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Multiobject Tracking in Videos Based on LSTM and Deep Reinforcement Learning
Complexity, 2018 Multiple-object tracking is a challenging issue in the computer vision community. In this paper, we propose a multiobject tracking algorithm in videos based on long short-term memory (LSTM) and deep reinforcement learning.
Ming-xin Jiang +4 more
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Gaze control system for tracking Quasi-1D high-speed moving object in complex background
Systems Science & Control Engineering, 2022 A gaze control system for tracking Quasi-1D high-speed moving object is proposed, it can keep the object in the centre of the image within a certain range.
Shuqiao Geng +4 more
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MobiFace: A Novel Dataset for Mobile Face Tracking in the Wild
, 2019 Face tracking serves as the crucial initial step in mobile applications trying to analyse target faces over time in mobile settings. However, this problem has received little attention, mainly due to the scarcity of dedicated face tracking benchmarks. In
Cheng, Shiyang +3 more
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Photon counting compressive depth mapping [PDF]
, 2013 We demonstrate a compressed sensing, photon counting lidar system based on the single-pixel camera. Our technique recovers both depth and intensity maps from a single under-sampled set of incoherent, linear projections of a scene of interest at ultra-low
Howell, John C. +3 more
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An Analysis of Visual Single Object Tracking Methods
Кібернетика та комп'ютерні технологіїIntroduction. Visual object tracking is an important task in computer vision with a wide range of applications, including autonomous navigation, robotics and surveillance.
Yevhen Romaniak
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Tracking with Multiple Cameras for Video Surveillance [PDF]
, 2008 The large shape variability and partial occlusions challenge most object detection and tracking methods for nonrigid targets such as pedestrians. Single camera tracking is limited in the scope of its applications because of the limited field of view (FOV)
Bhuyan, M. K. +2 more
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Correlation Pyramid Network for 3D Single Object Tracking
2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2023 3D LiDAR-based single object tracking (SOT) has gained increasing attention as it plays a crucial role in 3D applications such as autonomous driving. The central problem is how to learn a target-aware representation from the sparse and incomplete point clouds.
Mengmeng Wang 0005 +4 more
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