Results 11 to 20 of about 4,286,679 (321)
Generalized Kernel-based Visual Tracking [PDF]
IEEE Transactions on Circuits and Systems for Video Technology, 2009 In this work we generalize the plain MS trackers and attempt to overcome standard mean shift trackers' two limitations. It is well known that modeling and maintaining a representation of a target object is an important component of a successful visual ...
Kim, Junae, Shen, Chunhua, Wang, Hanzi
core +6 more sources
Robust Visual Tracking by Segmentation [PDF]
European Conference on Computer Vision, 2022 Estimating the target extent poses a fundamental challenge in visual object tracking. Typically, trackers are box-centric and fully rely on a bounding box to define the target in the scene.
M. Paul +3 more
semanticscholar +3 more sources
Visual learning in multiple-object tracking. [PDF]
PLoS ONE, 2008 Tracking moving objects in space is important for the maintenance of spatiotemporal continuity in everyday visual tasks. In the laboratory, this ability is tested using the Multiple Object Tracking (MOT) task, where participants track a subset of moving ...
Tal Makovski +2 more
doaj +4 more sources
Head Tracking of Auditory, Visual and Audio-Visual Targets [PDF]
Frontiers in Neuroscience, 2016 The ability to actively follow a moving auditory target with our heads remains unexplored even though it is a common behavioral response. Previous studies of auditory motion perception have focused on the condition where the subjects are passive.
Johahn eLeung +3 more
doaj +3 more sources
SiamRPN++: Evolution of Siamese Visual Tracking With Very Deep Networks [PDF]
Computer Vision and Pattern Recognition, 2018 Siamese network based trackers formulate tracking as convolutional feature cross-correlation between target template and searching region. However, Siamese trackers still have accuracy gap compared with state-of-the-art algorithms and they cannot take ...
Bo Li +5 more
semanticscholar +1 more source
Towards Real-World Visual Tracking With Temporal Contexts [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 Visual tracking has made significant improvements in the past few decades. Most existing state-of-the-art trackers 1) merely aim for performance in ideal conditions while overlooking the real-world conditions; 2) adopt the tracking-by-detection paradigm,
Ziang Cao +5 more
semanticscholar +1 more source
Learning Multi-domain Convolutional Neural Networks for Visual Tracking [PDF]
Computer Vision and Pattern Recognition, 2015 We propose a novel visual tracking algorithm based on the representations from a discriminatively trained Convolutional Neural Network (CNN). Our algorithm pretrains a CNN using a large set of videos with tracking ground-truths to obtain a generic target
Hyeonseob Nam, Bohyung Han
semanticscholar +1 more source
Siamese Box Adaptive Network for Visual Tracking [PDF]
Computer Vision and Pattern Recognition, 2020 Most of the existing trackers usually rely on either a multi-scale searching scheme or pre-defined anchor boxes to accurately estimate the scale and aspect ratio of a target. Unfortunately, they typically call for tedious and heuristic configurations. To
Zedu Chen +4 more
semanticscholar +1 more source
Visual Prompt Multi-Modal Tracking [PDF]
Computer Vision and Pattern Recognition, 2023 Visible-modal object tracking gives rise to a series of downstream multi-modal tracking tributaries. To inherit the powerful representations of the foundation model, a natural modus operandi for multi-modal tracking is full fine-tuning on the RGB-based ...
Jiawen Zhu +4 more
semanticscholar +1 more source
Eye-hand synergy and intermittent behaviors during target-directed tracking with visual and non-visual information. [PDF]
PLoS ONE, 2012 Visual feedback and non-visual information play different roles in tracking of an external target. This study explored the respective roles of the visual and non-visual information in eleven healthy volunteers who coupled the manual cursor to a ...
Chien-Ting Huang, Ing-Shiou Hwang
doaj +1 more source