Results 41 to 50 of about 497,054 (287)
Counter-Hypothetical Particle Filters for Single Object Pose Tracking
2023 IEEE International Conference on Robotics and Automation (ICRA), 2023 Particle filtering is a common technique for six degrees of freedom (6D) pose estimation due to its ability to tractably represent belief over object pose. However, the particle filter is prone to particle deprivation due to the high-dimensional nature of 6D pose.
Olson, Elizabeth A. +3 more
openaire +3 more sources
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
doaj +1 more source
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
doaj +1 more source
, 2017 In this paper, we propose a CNN-based framework for online MOT. This framework utilizes the merits of single object trackers in adapting appearance models and searching for target in the next frame.
Chu, Qi +5 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
core +1 more source
Beyond Correlation Filters: Learning Continuous Convolution Operators for Visual Tracking
, 2016 Discriminative Correlation Filters (DCF) have demonstrated excellent performance for visual object tracking. The key to their success is the ability to efficiently exploit available negative data by including all shifted versions of a training sample ...
A Fusiello +13 more
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Comparative analysis of image hashing algorithms for visual object tracking
Радіоелектронні і комп'ютерні системиSubject of the research – visual object tracking using various image hashing algorithms for real-time tracking tasks. The goal of this study is to evaluate the tracking success and processing speed of existing and new hashing algorithms for object ...
Vitalii Naumenko +2 more
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Toward Real-Time UAV Multi-Target Tracking Using Joint Detection and Tracking
IEEE Access, 2023 Multiple object tracking (MOT) of unmanned aerial vehicle (UAV) systems is essential for both defense and civilian applications. As drone technology moves towards real-time, conventional tracking algorithms cannot be directly applied to UAV videos due to
Tinnakorn Keawboontan +1 more
doaj +1 more source
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
core +3 more sources