Multi-Target State and Extent Estimation for High Resolution Automotive Sensor Detections
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
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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Deep Learning-Based Ground Target Detection and Tracking for Aerial Photography from UAVs
Target detection and tracking can be widely used in military and civilian scenarios. Unmanned aerial vehicles (UAVs) have high maneuverability and strong concealment, thus they are very suitable for using as a platform for ground target detection and ...
Kaipeng Wang, Zhijun Meng, Zhe Wu
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A Review on Kernel Learning Method of Moving Target Tracking [PDF]
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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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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A scale-adaptive target tracking method for coal mine underground based on cloud-edge collaboration
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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Linear multi-target IPF algorithm for automatic tracking [PDF]
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
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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Multiple Target Tracking in Wireless Sensor Networks Based on Sensor Grouping and Hybrid Iterative-Heuristic Optimization [PDF]
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
doaj
Enhanced target tracking algorithm for autonomous driving based on visible and infrared image fusion
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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