Results 41 to 50 of about 4,286,679 (321)
Active Learning for Deep Visual Tracking [PDF]
IEEE Transactions on Neural Networks and Learning Systems, 2021 Convolutional neural networks (CNNs) have been successfully applied to the single target tracking task in recent years. Generally, training a deep CNN model requires numerous labeled training samples, and the number and quality of these samples directly ...
Di Yuan +4 more
semanticscholar +1 more source
Performance Evaluation of Visual Tracking Algorithms on Video Sequences With Quality Degradation
IEEE Access, 2017 Recently, there are lots of visual tracking algorithms proposed to improve the performance of object tracking in video sequences with various real conditions, such as severe occlusion, complicated background, fast motion, and so on.
Yuming Fang +5 more
doaj +1 more source
Learn to Match: Automatic Matching Network Design for Visual Tracking [PDF]
IEEE International Conference on Computer Vision, 2021 Siamese tracking has achieved groundbreaking performance in recent years, where the essence is the efficient matching operator cross-correlation and its variants. Besides the remarkable success, it is important to note that the heuristic matching network
Zhipeng Zhang +4 more
semanticscholar +1 more source
SiamCAR: Siamese Fully Convolutional Classification and Regression for Visual Tracking [PDF]
Computer Vision and Pattern Recognition, 2019 By decomposing the visual tracking task into two subproblems as classification for pixel category and regression for object bounding box at this pixel, we propose a novel fully convolutional Siamese network to solve visual tracking end-to-end in a per ...
Dongyan Guo +4 more
semanticscholar +1 more source
SiamCorners: Siamese Corner Networks for Visual Tracking [PDF]
IEEE transactions on multimedia, 2021 The current Siamese network based on region proposal network (RPN) has attracted great attention in visual tracking due to its excellent accuracy and high efficiency.
Kai Yang +6 more
semanticscholar +1 more source
Human mobility monitoring in very low resolution visual sensor network [PDF]
, 2014 This paper proposes an automated system for monitoring mobility patterns using a network of very low resolution visual sensors (30 30 pixels). The use of very low resolution sensors reduces privacy concern, cost, computation requirement and power ...
Aghajan, Hamid +13 more
core +3 more sources
The Effect of Fearful Expressions on Multiple Face Tracking
Psychologica Belgica, 2015 How does the visual system realize dynamic tracking? This topic has become popular within cognitive science in recent years. The classical theory argues that multiple object tracking is accomplished via pre-attention visual indexes as part of a ...
Hongjun Jin, Baihua Xu
doaj +3 more sources
Learning Background-Aware Correlation Filters for Visual Tracking [PDF]
IEEE International Conference on Computer Vision, 2017 Correlation Filters (CFs) have recently demonstrated excellent performance in terms of rapidly tracking objects under challenging photometric and geometric variations. The strength of the approach comes from its ability to efficiently learn - on the fly -
Hamed Kiani Galoogahi +2 more
semanticscholar +1 more source
Visual Object Tracking: The Initialisation Problem [PDF]
, 2018 Model initialisation is an important component of object tracking. Tracking algorithms are generally provided with the first frame of a sequence and a bounding box (BB) indicating the location of the object.
De Ath, George, Everson, Richard
core +2 more sources
Visualizing Flagella while Tracking Bacteria [PDF]
Biophysical Journal, 2016 A complete description of the swimming behavior of a bacterium requires measurement of the displacement and orientation of the cell body together with a description of the movement of the flagella. We rebuilt a tracking microscope so that we could visualize flagellar filaments of tracked cells by fluorescence.
Linda, Turner +3 more
openaire +2 more sources