Results 31 to 40 of about 289,781 (144)
Visual Target Detection and Tracking Based on Kalman Filter
Havacılık ve Uzay Teknolojileri Dergisi, 2021 In this study, in order to prevent collision and target tracking in autonomous aircraft, Kalman filter with appropriate solutions for target detection and tracking problems are presented.
Gülay ÜNAL
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Research on detection and tracking methods of unmanned ship water targets based on light vision [PDF]
Zhihui kongzhi yu fangzhenThis study explores technical methods based on light vision to address the problem of target detection and tracking by surface unmanned ships in complex environments.
LIU Yibo, QIU Xinyu, WANG Tianhao, GAOYAN Xiusong, WANG Yintao
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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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Multi-target tracking algorithm in intelligent transportation based on wireless sensor network
Open Physics, 2018 The traditional extended Kalman algorithm for multi-target tracking in the field of intelligent transportation does not consider the occlusion problem of the multi-target tracking process, and has the disadvantage of low multi-target tracking accuracy. A
Lei Yang +2 more
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Moving Target Detection and Tracking Algorithm Based on Context Information
IEEE Access, 2019 To improve the robustness of target tracking algorithms in a complex environment, this paper proposes the moving target detection and tracking algorithm based on context information and closed-loop learning.
Jing Li, Junzheng Wang, Wenxue Liu
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Variational Bayesian Inference for Multiple Extended Targets or Unresolved Group Targets Tracking
IET Radar, Sonar & NavigationIn this work, we propose a method for tracking multiple extended targets or unresolvable group targets in a clutter environment. First, based on the random matrix model (RMM), each target's joint kinematic–extent state is modelled as a gamma Gaussian ...
Yuanhao Cheng +4 more
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Posture Recognition and Behavior Tracking in Swimming Motion Images under Computer Machine Vision
Complexity, 2021 This study is to explore the gesture recognition and behavior tracking in swimming motion images under computer machine vision and to expand the application of moving target detection and tracking algorithms based on computer machine vision in this field.
Zheng Zhang +4 more
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Remote SensingUtilization of ocean resources and defense of national security heavily rely on underwater target tracking technology, which consequently holds significant strategic importance.
Xianghao Hou +3 more
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Procedia Computer Science, 2019 This paper proposes, develops and evaluates a novel object-tracking algorithm that outperforms start-of-the-art method in terms of its robustness. The proposed method compromises Siamese networks, Recurrent Convolutional Neural Networks (RCNNs)\ud and Long Short Term Memory (LSTM) and performs short-term target tracking in real-time.
SEDKY, Mohamed +4 more
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Magnetometers for tracking metallic targets [PDF]
2010 13th International Conference on Information Fusion, 2010 Starting from Maxwell's equations, we derive a sensor model for three-axis magnetometers suitable for localization and tracking applications. The model depends on the relative position between the sensor and the target, and a physical magnetic multipole model of the target.
Wahlström, Niklas +2 more
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