Results 21 to 30 of about 4,286,679 (321)
Exploring Lightweight Hierarchical Vision Transformers for Efficient Visual Tracking [PDF]
IEEE International Conference on Computer Vision, 2023 Transformer-based visual trackers have demonstrated significant progress owing to their superior modeling capabilities. However, existing trackers are hampered by low speed, limiting their applicability on devices with limited computational power.
Ben Kang +4 more
semanticscholar +1 more source
HIPTrack: Visual Tracking with Historical Prompts [PDF]
Computer Vision and Pattern Recognition, 2023 Trackers that follow Siamese paradigm utilize similarity matching between template and search region features for tracking. Many methods have been explored to enhance tracking performance by incorporating tracking history to better handle scenarios ...
Wenrui Cai, Qingjie Liu, Yunhong Wang
semanticscholar +1 more source
Learning Spatially Regularized Correlation Filters for Visual Tracking [PDF]
IEEE International Conference on Computer Vision, 2015 Robust and accurate visual tracking is one of the most challenging computer vision problems. Due to the inherent lack of training data, a robust approach for constructing a target appearance model is crucial.
Martin Danelljan +3 more
semanticscholar +1 more source
Probabilistic Regression for Visual Tracking [PDF]
Computer Vision and Pattern Recognition, 2020 Visual tracking is fundamentally the problem of regressing the state of the target in each video frame. While significant progress has been achieved, trackers are still prone to failures and inaccuracies.
Martin Danelljan, L. Gool, Radu Timofte
semanticscholar +1 more source
CiteTracker: Correlating Image and Text for Visual Tracking [PDF]
IEEE International Conference on Computer Vision, 2023 Existing visual tracking methods typically take an image patch as the reference of the target to perform tracking. However, a single image patch cannot provide a complete and precise concept of the target object as images are limited in their ability to ...
Xin Li +5 more
semanticscholar +1 more source
Context-Aware Visual Tracking [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2009 Enormous uncertainties in unconstrained environments lead to a fundamental dilemma that many tracking algorithms have to face in practice: Tracking has to be computationally efficient, but verifying whether or not the tracker is following the true target tends to be demanding, especially when the background is cluttered and/or when occlusion occurs ...
Ming, Yang, Ying, Wu, Gang, Hua
openaire +2 more sources
SparseTT: Visual Tracking with Sparse Transformers [PDF]
International Joint Conference on Artificial Intelligence, 2022 Transformers have been successfully applied to the visual tracking task and significantly promote tracking performance. The self-attention mechanism designed to model long-range dependencies is the key to the success of Transformers.
Z. Fu +4 more
semanticscholar +1 more source
Visual Tracking Under Motion Blur [PDF]
IEEE Transactions on Image Processing, 2016 Most existing tracking algorithms do not explicitly consider the motion blur contained in video sequences, which degrades their performance in real-world applications where motion blur often occurs. In this paper, we propose to solve the motion blur problem in visual tracking in a unified framework. Specifically, a joint blur state estimation and multi-
Bo Ma +5 more
openaire +4 more sources
Dynamic Visual Tracking for Robot Manipulator Using Adaptive Fading Kalman Filter
IEEE Access, 2020 This paper focuses on the problem of visual tracking of a moving target with the temporary occlusion of image feature, a dynamic visual tracking control system for robot manipulator is developed by using adaptive fading Kalman filter (AFKF).
Jiadi Qu +3 more
doaj +1 more source
A Cross-Recurrence Analysis of the Pupil Size Fluctuations in Steady Scotopic Conditions
Frontiers in Neuroscience, 2019 Pupil size fluctuations during stationary scotopic conditions may convey information about the cortical state activity at rest. An important link between neuronal network state modulation and pupil fluctuations is the cholinergic and noradrenergic ...
Pietro Piu +5 more
doaj +1 more source