Results 21 to 30 of about 196,680 (343)
A Novel Algorithm Based on a Common Subspace Fusion for Visual Object Tracking
Recent methods for visual tracking exploit a multitude of information obtained from combinations of handcrafted and/or deep features. However, the response maps derived from these feature combinations are often fused using simple strategies such as ...
Sajid Javed +6 more
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Equivalence of Correlation Filter and Convolution Filter in Visual Tracking [PDF]
(Discriminative) Correlation Filter has been successfully applied to visual tracking and has advanced the field significantly in recent years. Correlation filter-based trackers consider visual tracking as a problem of matching the feature template of the object and candidate regions in the detection sample, in which correlation filter provides the ...
Shuiwang Li +3 more
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Region-filtering correlation tracking [PDF]
Abstract Correlation filters (CF) have demonstrated a good performance in visual tracking. However, the base training sample region is larger than the object region, including the interference region (IR). IRs in training samples from cyclic shifts of the base training sample severely degrade the quality of the tracking model. In this paper, a region-
Nana Fan +4 more
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Learning to Track Aircraft in Infrared Imagery
Airborne target tracking in infrared imagery remains a challenging task. The airborne target usually has a low signal-to-noise ratio and shows different visual patterns.
Sijie Wu, Kai Zhang, Shaoyi Li, Jie Yan
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Learning an Orientation and Scale Adaptive Tracker With Regularized Correlation Filters
Spatial and temporal constraints are very important for correlation filter (CF)-based trackers. However, the existing methods usually fail to regularize the CF learning by the spatio-temporal information because of the ineffective target representation ...
Ke Tan, Zhenzhong Wei
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(1) Background: Ultrasound provides a radiation-free and portable method for assessing swallowing. Hyoid bone locations and displacements are often used as important indicators for the evaluation of swallowing disorders. However, this requires clinicians
Shurui Feng +5 more
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Algorithms for morphological profile filters and their comparison [PDF]
Morphological filters, regarded as the complement of mean-line based filters, are useful in the analysis of surface texture and the prediction of functional performance.
Lou, Shan +2 more
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Visual Tracking Based on Correlation Filter and Robust Coding in Bilateral 2DPCA Subspace
The success of correlation filters in visual tracking has attracted much attention in computer vision due to their high efficiency and performance. However, they are not equipped with a mechanism to cope with challenging situations like scale variations,
B. K. Shreyamsha Kumar +2 more
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Benchmarking Deep Trackers on Aerial Videos
In recent years, deep learning-based visual object trackers have achieved state-of-the-art performance on several visual object tracking benchmarks. However, most tracking benchmarks are focused on ground level videos, whereas aerial tracking presents a ...
Abu Md Niamul Taufique +2 more
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An Advanced Deep Learning Approach for Multi-Object Counting in Urban Vehicular Environments
Object counting is an active research area that gained more attention in the past few years. In smart cities, vehicle counting plays a crucial role in urban planning and management of the Intelligent Transportation Systems (ITS).
Ahmed Dirir +6 more
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