Results 31 to 40 of about 805,301 (255)
Visual Multiple-object Tracking Algorithm Based on Motion Consistency
Kongzhi Yu Xinxi Jishu, 2023 The visual multiple-object tracking module is a key component of an active onboard obstacle detection system. However, the most of currently used visual multiple-object tracking algorithms rely on offline calculation for object detection, without ...
YANG Hailang +5 more
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Visual Tracking in Development and Aging
Frontiers in Neurology, 2017 A moving target is visually tracked with a combination of smooth pursuit and saccades. Human visual tracking eye movement develops through early childhood and adolescence, and declines in senescence.
Jun Maruta +6 more
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IFAC Proceedings Volumes, 1993 The research reported here addresses the problem of tracking independently moving objects from a moving observer in real time, using corners as object tokens (Harris and Stephens, 1988). A novel algorithm is developed to solve the local correspondence/tracking problem.
J. Roberts, D. Charnley
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State of the Art: Eye-Tracking Studies in Medical Imaging
IEEE Access, 2018 Eye-tracking-the process of measuring where people look in a visual field-has been widely used to study how humans process visual information. In medical imaging, eye-tracking has become a popular technique in many applications to reveal how visual ...
Lucie Leveque +3 more
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Kernalised Multi-resolution Convnet for Visual Tracking
, 2017 Visual tracking is intrinsically a temporal problem. Discriminative Correlation Filters (DCF) have demonstrated excellent performance for high-speed generic visual object tracking.
Li, Xia, Wu, Di, Zhao, Yong, Zou, Wenbin
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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
Cetin, Mujdat +3 more
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Robust and Real-time Deep Tracking Via Multi-Scale Domain Adaptation
, 2017 Visual tracking is a fundamental problem in computer vision. Recently, some deep-learning-based tracking algorithms have been achieving record-breaking performances. However, due to the high complexity of deep learning, most deep trackers suffer from low
Li, Hanxi +4 more
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Comparison of threshold Saccadic Vector Optokinetic Perimetry (SVOP) and Standard Automated Perimetry (SAP) in glaucoma. Part II: patterns of visual field loss and acceptability [PDF]
, 2017 Purpose: We compared patterns of visual field loss detected by standard automated perimetry (SAP) to saccadic vector optokinetic perimetry (SVOP) and examined patient perceptions of each test.
Agarwal, Pankaj K. +8 more
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Visual Tracking of Auditory Stimuli [PDF]
The Journal of the Acoustical Society of America, 1967 Inside an anechoic chamber electro-occulographic techniques were used to record the eye movements in 20 subjects who were requested to track with their eyes a steady and continuously moving auditory stimulus. A motor-driven rotary switch made successive contact with 24 loudspeakers mounted side by side in an arc 180° wide and 11 ft in diameter.
R W, Stream, E T, Whitson, V, Honrubia
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Remote SensingThe performance of remote sensing object detectors often degrades severely when deployed in new operational environments due to covariate shift in the data distribution. Existing evaluation paradigms, which primarily rely on aggregate performance metrics
Decheng Wang +5 more
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