Multi-Target State and Extent Estimation for High Resolution Automotive Sensor Detections
Sensors, 2022 This paper discusses the perception and tracking of individual as well as group targets as applied to multi-lane public traffic. Target tracking problem is formulated as a two hierarchical layer problem—on the first layer, a multi-target tracking problem
Andinet Hunde
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Multi-Target Tracking and Detection Based on Hybrid Filter Algorithm
IEEE Access, 2020 Wireless sensor network is a fast-growing research field. In recent years, it has attracted considerable research attention. The generation of large-scale sensor networks interconnected hundreds of sensor nodes, opening up some technical challenges and ...
Xianzhen Xu, Zhiyu Yuan, Yanping Wang
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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 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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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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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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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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Multiple Target Tracking in Wireless Sensor Networks Based on Sensor Grouping and Hybrid Iterative-Heuristic Optimization [PDF]
Iranian Journal of Electrical and Electronic Engineering, 2023 A novel hybrid method for tracking multiple indistinguishable maneuvering targets using a wireless sensor network is introduced in this paper. The problem of tracking the location of targets is formulated as a Maximum Likelihood Estimation.
M. H. Adhami, R. Ghazizadeh
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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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Mathematics, 2022 Due to the complexity of Unmanned Aerial Vehicle (UAV) target tracking scenarios, tracking drift caused by target occlusion is common and has no suitable solution.
Zhen Chen +4 more
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