Results 21 to 30 of about 187,114 (259)
Sensors, 2021 (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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Visual Tracking Based on Correlation Filter and Robust Coding in Bilateral 2DPCA Subspace
IEEE Access, 2018 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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An Advanced Deep Learning Approach for Multi-Object Counting in Urban Vehicular Environments
Future Internet, 2021 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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Video Tracking Method Using Multi-granularity Correlation Filters [PDF]
Jisuanji gongcheng, 2020 Video tracking is an important direction in research of computer vision.Many tracking algorithms achieve high performance by integrating multiple types of features,but most of them fail to fully exploit the granularity relationship between multiple ...
SHEN Zejun, DING Feifei, YANG Wenyuan
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Target Field of View Prediction Using Artificial Pheromones for People Reidentification
IEEE Access, 2019 People reidentification is a fundamental task in automated video surveillance based on computer vision. Reidentification happens when a person seen in a field of view is the same that has been observed in other fields of view.
Everardo Santiago-Ramirez +4 more
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Benchmarking Deep Trackers on Aerial Videos
Sensors, 2020 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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Cascaded Iterative Training Model and Parallel Multi-Classifiers for Visual Object Tracking
IEEE Access, 2019 Because of the superiority in distinguishing the target from the background by learning mechanism, discriminative classifier attracts a great deal of attention in target detection and tracking systems.
Dongzhu Feng +4 more
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Multi-Channel Features Spatio-Temporal Context Learning for Visual Tracking
IEEE Access, 2017 Visual tracking is a challenging issue in surveillance, human-computer Interaction, and intelligent robotics, among others. Managing appearance changes of the target object, illumination changes, rotations, non-rigid deformations, partial or full ...
Xiaoqin Zhou +4 more
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Region-filtering Correlation Tracking
CoRR, 2018 Recently, correlation filters have demonstrated the excellent performance in visual tracking. However, the base training sample region is larger than the object region,including the Interference Region(IR). The IRs in training samples from cyclic shifts of the base training sample severely degrade the quality of a tracking model.
Nana Fan, Zhenyu He 0001
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A Multi-Information Fusion Correlation Filters Tracker
IEEE Access, 2020 In recent years, trackers based on correlation filters have attracted more and more attention due to the impressive tracking accuracy and real-time performance.
Junnan Wang +4 more
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