Results 11 to 20 of about 870,154 (291)
Feature Tracking for Target Identification in Acoustic Image Sequences
Complexity, 2021 This paper proposes underwater target identification with local features and a feature tracking algorithm for acoustic image sequences. Feature detectors and descriptors are key to feature tracking.
Jue Gao, Ya Gu, Peiyi Zhu
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Decontaminate feature for tracking: adaptive tracking via evolutionary feature subset [PDF]
Journal of Electronic Imaging, 2017 Although various visual tracking algorithms have been proposed in the last 2-3 decades, it remains a challenging problem for effective tracking with fast motion, deformation, occlusion et al. Under complex tracking conditions, most tracking models are not discriminative and adaptive enough.
Liu, Qiaoyuan +4 more
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How Do Humans Perform in Multiple Object Tracking With Unstable Features
Frontiers in Psychology, 2020 In real-world scenarios, objects’ surface features sometimes change as they move, impairing the continuity of objects. However, it is still unknown how our visual system adapts to this dynamic change.
Chen Zhao +10 more
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Research on deep correlation filter tracking based on channel importance
EURASIP Journal on Advances in Signal Processing, 2022 Correlation filter tracking requires little prior knowledge of the tracking target (e.g., the shape, and the posture) but has a fast-tracking speed. The deep features extracted by the deep convolutional neural network have strong representation ability ...
Guosheng Yang, Chunting Li, Honglin Chen
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Asynchronous event feature generation and tracking based on gradient descriptor for event cameras
International Journal of Advanced Robotic Systems, 2021 Recently, the event camera has become a popular and promising vision sensor in the research of simultaneous localization and mapping and computer vision owing to its advantages: low latency, high dynamic range, and high temporal resolution.
Ruoxiang Li +4 more
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Color and Motion Features Fusion Tracking Based on Game Theory [PDF]
Jisuanji gongcheng, 2018 Aiming at the problem that single feature is hard to adapt to complex scene changes,a multi-feature fusion algorithm is proposed.Based on the Mean Shift(MS) tracking framework,this paper regards the color feature and motion feature characterized by ...
JIN Zefenfen,HOU Zhiqiang,YU Wangsheng,WANG Xin
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Hellenic Journal of Cardiology, 2021 Objective: This study evaluated the prognostic significance of cardiac magnetic resonance myocardial feature tracking (CMR-FT) in patients with Brugada syndrome (BrS) to detect subclinical alterations and predict major adverse events (MAE).
Anna Hohneck +9 more
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RGBT Object Tracking Based on High Rank Feature and Position Attention [PDF]
Jisuanji kexue, 2022 RGBT target tracking uses the advantages of two different modes of visible light(RGB) and thermal infrared(T) to solve the common modal limitation problem in single mode target tracking,so as to improve the performance of target tracking in complex ...
YANG Lan-lan, WANG Wen-qi, WANG Fu-tian
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Video Tracking Using Learned Hierarchical Features [PDF]
IEEE Transactions on Image Processing, 2015 In this paper, we propose an approach to learn hierarchical features for visual object tracking. First, we offline learn features robust to diverse motion patterns from auxiliary video sequences. The hierarchical features are learned via a two-layer convolutional neural network.
Wang, Gang +4 more
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Frontiers in Cardiovascular Medicine, 2023 Fabry disease is a rare, progressive X-linked inherited disorder of glycosphingolipid metabolism due to a deficiency of α-galactosidase A enzyme. It leads to the accumulation of globotriaosylceramide within lysosomes of multiple organs, predominantly the
Muhammad Umer, Dinesh K. Kalra
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