Results 21 to 30 of about 1,092,892 (308)
Generalized Labeled Multi-Bernoulli Multi-Target Tracking with Doppler-Only Measurements
Remote Sensing, 2022 The paper addresses the problem of tracking multiple targets with Doppler-only measurements in multi-sensor systems. It is well known that the observability of the target state measured using Doppler-only measurements is very poor, which makes it ...
Yun Zhu +3 more
semanticscholar +1 more source
A joint algorithm of multi-target detection and tracking for underground miners
Gong-kuang zidonghua, 2022 The existing multi-target tracking algorithms for underground miners has the problems of slow detection speed and low recognition precision. In order to solve the above problems, a joint algorithm of multi-target detection and tracking algorithm based on
ZHOU Mengran +3 more
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Online Multi-Target Tracking Using Recurrent Neural Networks [PDF]
AAAI Conference on Artificial Intelligence, 2016 We present a novel approach to online multi-target tracking based on recurrent neural networks (RNNs). Tracking multiple objects in real-world scenes involves many challenges, including a) an a-priori unknown and time-varying number of targets, b) a ...
Anton Milan +4 more
semanticscholar +1 more source
A new type of multi-radar multi-target particle filter tracking before detection algorithm
Dianzi Jishu Yingyong, 2021 Aiming at the problem of target track offset that easily occurs in multi-radar multi-target detection and tracking when the target distance is close, this paper proposes a new type of multi-radar multi-target particle filter tracking before detection ...
Pan Kai, Chen Xiao
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Multi-target Tracking Based on Deep Sort in Traffic Scene
Journal of Physics: Conference Series, 2021 In this paper, we use the deep sort multi-target tracking algorithm to achieve multi-target tracking of pedestrians and vehicles in traffic scenes. In this paper, firstly, yolov4 is used to train the pedestrian and vehicle detection model in traffic ...
Chao Duan, Xingxing Li
semanticscholar +1 more source
Sea-Surface Target Visual Tracking with a Multi-Camera Cooperation Approach
Sensors, 2022 Cameras are widely used in the detection and tracking of moving targets. Compared to target visual tracking using a single camera, cooperative tracking based on multiple cameras has advantages including wider visual field, higher tracking reliability ...
Jinjun Rao +7 more
doaj +1 more source
Underwater Multi-Target Tracking with Particle Filters [PDF]
2018 OCEANS - MTS/IEEE Kobe Techno-Oceans (OTO), 2018 © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component
Masmitjà Rusiñol, Ivan +4 more
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Radar pulse interleaving for multi‐target tracking [PDF]
Naval Research Logistics (NRL), 2003 AbstractIn a multifunction radar, the maximum number of targets that can be managed or tracked is an important performance measure. Interleaving algorithms developed to operate radars exploit the dead‐times between the transmitted and the received pulses to allocate new tracking tasks that might involve transmitting or receiving pulses, thus increasing
Elshafei, M., Smith, J.C., Sherali, H.D.
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ASMT: An augmented state-based multi-target tracking algorithm in wireless sensor networks
International Journal of Distributed Sensor Networks, 2017 Due to the resource limitation and low performance of sensor node, research works of multi-target tracking became a hot spot in the applications of wireless sensor networks.
Kejiang Xiao +4 more
doaj +1 more source
Research on the Cooperative Target State Estimation and Tracking Optimization Method of Multi-UUV
Sensors, 2023 This work studied two sub-problems of the cooperative state estimation and cooperative optimization of tracking paths in multiple unmanned underwater vehicle (multi-UUV) cooperative target tracking.
Tao Chen, Qi Qi
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