Results 31 to 40 of about 3,861,419 (280)
A Dynamic and Adaptive Selection Radar Tracking Method Based on Information Entropy
Leida xuebao, 2017 Nowadays, the battlefield environment has become much more complex and variable. This paper presents a quantitative method and lower bound for the amount of target information acquired from multiple radar observations to adaptively and dynamically ...
Ge Jianjun, Li Chunxia
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A scale-adaptive target tracking method for coal mine underground based on cloud-edge collaboration
Gong-kuang zidonghua, 2023 The moving targets in coal mine underground monitoring videos often have significant scale changes and deformations. This results in low accuracy of target tracking algorithms based on computer vision.
MU Qi, HAN Jiajia, ZHANG Han, LI Zhanli
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A Review on Kernel Learning Method of Moving Target Tracking [PDF]
Hangkong bingqi, 2021 The kernel method maps the original spatial data to a high-dimensional Hilbert space by nonlinear mapping and hides the mapping in the linear learner. The kernel function is used to replace the complex inner product operation in high-dimensional space ...
Lou Jiaxin, Li Yuankai, Wang Yuan, Xu Yanke
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Linear multi-target IPF algorithm for automatic tracking [PDF]
Scientific Technical Review, 2016 The radar tracking applications perform single and multiple object detections from noise-corrupted signal. These detections are used as measurements for target tracking.
Radosavljević Zvonko +2 more
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An Improved Q-Learning-Based Sensor-Scheduling Algorithm for Multi-Target Tracking
Sensors, 2022 Target tracking is an essential issue in wireless sensor networks (WSNs). Compared with single-target tracking, how to guarantee the performance of multi-target tracking is more challenging because the system needs to balance the tracking resource for ...
Zhiyi Qu +5 more
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Angle Optimization in Target Tracking [PDF]
, 2008 Technical report ...
Gfeller, Beat +4 more
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A Review of Target Tracking Algorithm Based on Deep Neural Network [PDF]
Hangkong bingqiTarget tracking is to predict the state of the current target according to the target context information of video sequence. Deep learning is gradually widely used in the field of target tracking.
Guo Fan, Lu Xuanyu, Li Jiayi, Wang Hongmei
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Enhanced target tracking algorithm for autonomous driving based on visible and infrared image fusion
Journal of Intelligent and Connected Vehicles, 2023 In autonomous driving, target tracking is essential to environmental perception. The study of target tracking algorithms can improve the accuracy of an autonomous driving vehicle’s perception, which is of great significance in ensuring the safety of ...
Quan Yuan +5 more
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Manifold Background-Aware Correlation Filter Target Tracking [PDF]
Jisuanji kexue yu tansuo, 2023 In order to solve the problem that target is easy to lose in complex scenes such as similar background, occlusion, fast motion and motion blur, a new manifold background-aware correlation filter tracking algorithm is proposed.
YUAN Heng, ZHAO Xiaoyi
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Multi-UAVs Communication-Aware Cooperative Target Tracking
Applied Sciences, 2018 A kind of communication-aware cooperative target tracking algorithm is proposed, which is based on information consensus under multi-Unmanned Aerial Vehicles (UAVs) communication noise.
Xiaowei Fu, Kunpeng Liu, Xiaoguang Gao
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