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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Application of the morphological alpha shape method to the extraction of topographical features from engineering surfaces [PDF]
, 2013 In contrast to the mean-line based filters, morphological filters are function oriented and more suitable for the functional prediction of component performance. This paper presents a novel morphological method based on the alpha shape for the extraction
Lou, Shan +2 more
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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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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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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
openaire +2 more sources
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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Real-Time Robust Tracking for Motion Blur and Fast Motion via Correlation Filters. [PDF]
Sensors (Basel), 2016 Visual tracking has extensive applications in intelligent monitoring and guidance systems. Among state-of-the-art tracking algorithms, Correlation Filter methods perform favorably in robustness, accuracy and speed.
Xu L, Luo H, Hui B, Chang Z.
europepmc +2 more sources
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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Learning Future-Aware Correlation Filters for Efficient UAV Tracking
Remote Sensing, 2021 In recent years, discriminative correlation filter (DCF)-based trackers have made considerable progress and drawn widespread attention in the unmanned aerial vehicle (UAV) tracking community.
Fei Zhang +5 more
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Visual tracking via spatially aligned correlation filters network [PDF]
, 2018 Correlation filters based trackers rely on a periodic assumption of the search sample to efficiently distinguish the target from the background. This assumption however yields undesired boundary effects and restricts aspect ratios of search samples.
Maybank, Stephen J. +13 more
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