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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
Optimal tracking for pairs of qubit states [PDF]
, 2008 In classical control theory, tracking refers to the ability to perform measurements and feedback on a classical system in order to enforce some desired dynamics. In this paper we investigate a simple version of quantum tracking, namely, we look at how to
Doherty, Andrew C. +2 more
core +2 more sources
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
doaj +1 more source
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
doaj +1 more source
Path Planning for UAV Ground Target Tracking via Deep Reinforcement Learning
IEEE Access, 2020 In this paper, we focus on the study of UAV ground target tracking under obstacle environments using deep reinforcement learning, and an improved deep deterministic policy gradient (DDPG) algorithm is presented.
Bohao Li, Yunjie Wu
semanticscholar +1 more source
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
doaj +1 more source
Target tracking enhancement using a Kalman filter in the presence of interference [PDF]
, 2009 In this paper we present a new target tracking enhancement system that uses a Kalman filter in the presence of interference. If the radar (seeker) is affected by different types of interference, this will affect the missile trajectory towards the target ...
Elgamel, S.A.E.H., Soraghan, J.J.
core +1 more source
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
doaj