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Feature tracking and aging [PDF]
Frontiers in Psychology, 2013 There are conflicting results regarding the effect of aging on second-order motion processing (i.e., motion defined by attributes other than luminance, such as contrast).
Rémy eAllard +2 more
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Design of a Real-Time Tracking Model Based on Adversarial Learning [PDF]
Jisuanji gongcheng, 2021 Target tracking is the process of finding the position of the moving target in the video frame, and is widely used in the fields of environmental perception, security monitoring and unmanned driving.To improve the efficiency of target tracking, this ...
LI Zhipeng, ZHANG Rui
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Object Tracking Algorithm with Fusion of Multi-feature and Channel Awareness [PDF]
Jisuanji kexue yu tansuo, 2022 In order to solve the problem of drift or overfitting in the tracking process of depth feature description target, an object tracking algorithm combining multiple features and channel perception is proposed.
ZHAO Yunji, FAN Cunliang, ZHANG Xinliang
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Feature Analysis in Correlation Filtering Tracker Algorithm [PDF]
Jisuanji gongcheng, 2018 Feature extraction is one of the most important steps in correlation filtering based on tracker algorithm,but existing feature extraction methods do not take into account the effects of feature optimization and feature fusion.As the tracking performance ...
LIU Linfeng,KONG Fanqiang,YAN Xiaole,SHEN Qiu
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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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Feature Distilled Tracking [PDF]
IEEE Transactions on Cybernetics, 2019 Feature extraction and representation is one of the most important components for fast, accurate, and robust visual tracking. Very deep convolutional neural networks (CNNs) provide effective tools for feature extraction with good generalization ability.
Guibo Zhu +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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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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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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