Results 1 to 10 of about 25,856 (119)
IEEE Access, 2019 Constructing a robust appearance model of the visual object is a crucial task for visual object tracking. Recently, more and more studies combine spatial feature with a temporal feature to improve the tracking performance.
Zhengyu Zhu +4 more
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Sensors, 2021 Visual object tracking is a significant technology for camera-based sensor networks applications. Multilayer convolutional features comprehensively used in correlation filter (CF)-based tracking algorithms have achieved excellent performance.
Jianming Zhang +3 more
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Robust Correlation Tracking for UAV with Feature Integration and Response Map Enhancement
Remote Sensing, 2022 Recently, correlation filter (CF)-based tracking algorithms have attained extensive interest in the field of unmanned aerial vehicle (UAV) tracking. Nonetheless, existing trackers still struggle with selecting suitable features and alleviating the model ...
Bin Lin, Yunpeng Bai, Bendu Bai, Ying Li
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SNS-CF: Siamese Network with Spatially Semantic Correlation Features for Object Tracking
Sensors, 2020 Recent advances in object tracking based on deep Siamese networks shifted the attention away from correlation filters. However, the Siamese network alone does not have as high accuracy as state-of-the-art correlation filter-based trackers, whereas ...
Thierry Ntwari +3 more
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Saliency Guided Visual Tracking via Correlation Filter With Log-Gabor Filter
IEEE Access, 2020 Correlation filter (CF) based tracking algorithms have tremendously contributed to the field of visual tracking due to the high computational efficiency and competitive performance.
Mingxin Yu +5 more
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Robust and Precise Matching Algorithm Combining Absent Color Indexing and Correlation Filter
Information, 2021 This paper presents a novel method that absorbs the strong discriminative ability from absent color indexing (ABC) to enhance sensitivity and combines it with a correlation filter (CF) for obtaining a higher precision; this method is named ABC-CF. First,
Ying Tian +4 more
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Multi-part and scale adaptive visual tracker based on kernel correlation filter.
PLoS ONE, 2020 Accurate visual tracking is a challenging issue in computer vision. Correlation filter (CF) based methods are sought in visual tracking based on their efficiency and high performance.
Mingqi Luo, Bin Zhou, Tuo Wang
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Adaptive Context-Aware and Structural Correlation Filter for Visual Tracking
Applied Sciences, 2019 Accurate visual tracking is a challenging issue in computer vision. Correlation filter (CF) based methods are sought in visual tracking based on their efficiency and high performance.
Bin Zhou, Tuo Wang
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Correlation Filters With Adaptive Multiple Contexts for Visual Tracking
IEEE Access, 2020 The local contexts define the target and its surrounding background within a constrained region, and have been proved useful for visual tracking, but how to adaptively employ them for building robust models remains challenging.
Feng Li, Hongzhi Zhang, Shan Liu
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Remote Sensing, 2021 Correlation filter (CF) based trackers have gained significant attention in the field of visual single-object tracking, owing to their favorable performance and high efficiency; however, existing trackers still suffer from model drift caused by boundary ...
Yinqiang Su +4 more
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