Results 41 to 50 of about 6,530,237 (230)
Dense Target Tracking Algorithm Based on Hierarchical and Gradual Update of Labels with Micro-Motion Characteristics [PDF]
Aiming at the problem of tracking dense target groups, especially multi-targets with micro-motion characteristics, this study proposes a dense target tracking algorithm based on label hierarchical gradual updating with micro-motion characteristics.
CHEN Zhichao, XU Zhenyu, HAO Jinlong, LI Dongying, YU Wenxian
doaj +1 more source
The joint optimization problem of transmit power and dwell time of radar for asynchronous multi-target tracking in heterogeneous multiple radar networks with imperfect detection is investigated.
Chenguang SHI +3 more
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Research on a multi-target detection and tracking algorithm
Aiming at the problems of poor real-time performance and easy drift in the existing research methods in the field of multi-target tracking,a multi-target detection and tracking algorithm was proposed based on YOLOv3 algorithm and KCF algorithm.Firstly ...
Wenhuan YANG, Yu ZHAI, Yaping YIN
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Research on detection and tracking methods of unmanned ship water targets based on light vision [PDF]
This 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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Visual-attention gabor filter based online multi-armored target tracking
The multi-armored target tracking (MATT) plays a crucial role in coordinated tracking and strike. The occlusion and insertion among targets and target scale variation is the key problems in MATT.
Fan-jie Meng +5 more
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A sparsity-driven approach to multi-camera tracking in visual sensor networks [PDF]
In this paper, a sparsity-driven approach is presented for multi-camera tracking in visual sensor networks (VSNs). VSNs consist of image sensors, embedded processors and wireless transceivers which are powered by batteries. Since the energy and bandwidth
Çetin, Müjdat +3 more
core +1 more source
Sequential Monte Carlo algorithms for joint target tracking and classification using kinematic radar information [PDF]
This paper considers the problem of joint maneuvering target tracking and classification. Based on recently proposed Monte Carlo techniques, a multiple model (MM) particle filter and a mixture Kalman filter (MKF) are designed for two-class identification
Angelova, Donka, Mihaylova, L.
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Most multi-target movements are nonlinear in the process of movement. The common multi-target tracking filtering methods directly act on the multi-target tracking system of nonlinear targets, and the fusion effect is worse under the influence of ...
Liu Wang +4 more
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A Dynamic and Adaptive Selection Radar Tracking Method Based on Information Entropy
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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Since the passive sensor has the property that it does not radiate signals, the use of passive sensors for target tracking is beneficial to improve the low probability of intercept (LPI) performance of the combat platform.
Lei Wei +4 more
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