Efficient and Practical Correlation Filter Tracking [PDF]
Sensors, 2021 Visual tracking is a basic task in many applications. However, the heavy computation and low speed of many recent trackers limit their applications in some computing power restricted scenarios.
Chengfei Zhu +3 more
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A Hybrid Visual Tracking Algorithm Based on SOM Network and Correlation Filter [PDF]
Sensors, 2021 To meet the challenge of video target tracking, based on a self-organization mapping network (SOM) and correlation filter, a long-term visual tracking algorithm is proposed. Objects in different videos or images often have completely different appearance,
Yuanping Zhang, Xiumei Huang, Ming Yang
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Improved Correlation Filter Tracking with Enhanced Features and Adaptive Kalman Filter [PDF]
Sensors, 2019 In the field of visual tracking, discriminative correlation filter (DCF)-based trackers have made remarkable achievements with their high computational efficiency.
Hao Yang, Yingqing Huang, Zhihong Xie
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Multi-Object Tracking with Correlation Filter for Autonomous Vehicle [PDF]
Sensors, 2018 Multi-object tracking is a crucial problem for autonomous vehicle. Most state-of-the-art approaches adopt the tracking-by-detection strategy, which is a two-step procedure consisting of the detection module and the tracking module.
Dawei Zhao +4 more
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Unmanned Aerial Vehicle Object Tracking by Correlation Filter with Adaptive Appearance Model [PDF]
Sensors, 2018 With the increasing availability of low-cost, commercially available unmanned aerial vehicles (UAVs), visual tracking using UAVs has become more and more important due to its many new applications, including automatic navigation, obstacle avoidance ...
Xizhe Xue, Ying Li, Qiang Shen
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Robust Event-Based Object Tracking Combining Correlation Filter and CNN Representation [PDF]
Frontiers in Neurorobotics, 2019 Object tracking based on the event-based camera or dynamic vision sensor (DVS) remains a challenging task due to the noise events, rapid change of event-stream shape, chaos of complex background textures, and occlusion.
Hongmin Li, Luping Shi
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Analisis Metode Kalman Filter, Particle Filter dan Correlation Filter Untuk Pelacakan Objek
Komputika, 2023 Object tracking is a challenging in computer vision. Object tracking is divided into two, which can be one object or several objects, depending on the object being observed.
Ridho Sholehurrohman +2 more
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Learning Spatio-Temporal Attention Based Siamese Network for Tracking UAVs in the Wild
Remote Sensing, 2022 The popularity of unmanned aerial vehicles (UAVs) has made anti-UAV technology increasingly urgent. Object tracking, especially in thermal infrared videos, offers a promising solution to counter UAV intrusion.
Junjie Chen +5 more
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Correlation Tracking via Spatial-Temporal Constraints and Structured Sparse Regularization
IEEE Access, 2021 Discriminative correlation filter (DCF) has achieved promising performance in visual tracking for its high efficiency and high accuracy. However, DCF trackers usually suffer from some challenges, such as boundary effects and appearance changes.
Dan Tian, Shouyu Zang, Binbin Tu
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Shallow Layer Convolutional Features with Correlation Filters for UAV Object Tracking
Journal of Telecommunications and Information Technology, 2022 In this paper, convolutional shallow features are proposed for unmanned aerial vehicle (UAV) tracking. These convolutional shallow features are generated by pre-trained convolutional neural networks (CNN) and are used to represent the target objects ...
Budi Syihabuddin +3 more
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