Results 61 to 70 of about 4,286,679 (321)
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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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
core +2 more sources
Learning Spatial-Temporal Regularized Correlation Filters for Visual Tracking [PDF]
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018 Discriminative Correlation Filters (DCF) are efficient in visual tracking but suffer from unwanted boundary effects. Spatially Regularized DCF (SRDCF) has been suggested to resolve this issue by enforcing spatial penalty on DCF coefficients, which ...
Feng Li +4 more
semanticscholar +1 more source
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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Image Guided Visual Tracking Control System for Unmanned Multirotor Aerial Vehicle with Uncertainty
Robotics, 2020 This paper presents a wavelet-based image guided tracking control system for unmanned multirotor aerial vehicle system with the presence of uncertainty. The visual signals for the visual tracking process are developed by using wavelet coefficients.
Shafiqul Islam +2 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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Siam R-CNN: Visual Tracking by Re-Detection [PDF]
Computer Vision and Pattern Recognition, 2019 We present Siam R-CNN, a Siamese re-detection architecture which unleashes the full power of two-stage object detection approaches for visual object tracking.
P. Voigtlaender +3 more
semanticscholar +1 more source
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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Survey of single‐target visual tracking methods based on online learning
IET Computer Vision, 2014 Visual tracking is a popular and challenging topic in computer vision and robotics. Owing to changes in the appearance of the target and complicated variations that may occur in various scenes, online learning scheme is necessary for advanced visual ...
Qi Liu, Xiaoguang Zhao, Zengguang Hou
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