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
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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
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Anti-Saccades in Cerebellar Ataxias Reveal a Contribution of the Cerebellum in Executive Functions
Frontiers in Neurology, 2018 ObjectiveIncreasing evidence suggests a cerebellar contribution to modulate cognitive aspects of motor behavior and executive functions. Supporting findings come from studies on patients with neurodegenerative diseases, in which however, given the extent
Elena Pretegiani +13 more
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Characteristic Eye Movements in Ataxia-Telangiectasia-Like Disorder: An Explanatory Hypothesis
Frontiers in Neurology, 2017 ObjectiveTo investigate cerebellar dysfunctions and quantitatively characterize specific oculomotor changes in ataxia-telangiectasia-like disorder (ATLD), a rare autosomal recessive disease caused by mutations in the MRE11 gene.
Pamela Federighi +5 more
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Visual Servoing and Visual Tracking [PDF]
, 2008 This chapter introduces visual servo control, using computer vision data in the servo loop to control the motion of a robot. We first describe the basic tech- niques that are by now well established in the field. We give a general overview of the formulation of the visual servo control problem, and describe the two archetypal visual servo control ...
Chaumette, François, Hutchinson, Seth
openaire +2 more sources
A sparsity-driven approach to multi-camera tracking in visual sensor networks [PDF]
, 2013 In this paper, a sparsity-driven approach is presented for multi-camera tracking in visual sensor networks (VSNs). VSNs consist of image sensors, embedded processors and wireless transceivers which are powered by batteries. Since the energy and bandwidth
Çetin, Müjdat +3 more
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Multi-Robot Sensor Fusion Target Tracking With Observation Constraints
IEEE Access, 2021 In Mobile Robotics, visual tracking is an extremely important sub-problem. Some solutions found to reduce the problems arising from partial and total occlusion are the use of multiple robots.
Thulio G. S. Amorim +3 more
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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
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Robust Visual Tracking by Segmentation
, 2022 Accepted at ECCV 2022.
Matthieu Paul +3 more
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Sequential Monte Carlo tracking by fusing multiple cues in video sequences [PDF]
, 2007 This paper presents visual cues for object tracking in video sequences using particle filtering. A consistent histogram-based framework is developed for the analysis of colour, edge and texture cues.
Mihaylova, L +5 more
core +1 more source