Results 251 to 260 of about 1,092,892 (308)
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Resource Scheduling for Multi-Target Tracking in Multi-Radar Systems With Imperfect Detection
IEEE Transactions on Signal Processing, 2022In this paper, an effective joint radar assignment and power scheduling (JRAPS) scheme is proposed for the multi-target tracking (MTT) task in multi-radar systems (MRSs) under imperfect detection, namely, target related measurements are collected with ...
Jun Sun, Wei Yi, P. Varshney, L. Kong
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Robust Power Allocation for Resource-Aware Multi-Target Tracking With Colocated MIMO Radars
IEEE Transactions on Signal Processing, 2021Power allocation is an essential part of the design of colocated multiple-input and multiple-output (C-MIMO) radar systems for multi-target tracking (MTT).
Ye Yuan +3 more
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IEEE Sensors Journal, 2022
This paper presents an efficient information-theoretic sensor management method to maximize the performance of the passive multi-sensor system for multi-target tracking.
Yun Zhu +3 more
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This paper presents an efficient information-theoretic sensor management method to maximize the performance of the passive multi-sensor system for multi-target tracking.
Yun Zhu +3 more
semanticscholar +1 more source
Box-Grained Reranking Matching for Multi-Camera Multi-Target Tracking
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2022Multi-Camera Multi-Target tracking (MCMT) is an essential task in intelligent transportation systems. It is highly challenging due to several problems such as heavy occlusion and appearance variance caused by various camera perspectives and congested ...
Xipeng Yang +10 more
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International Journal of Control, 2021
This paper investigates the finite-time multi-target tracking problem of networked Euler–Lagrange systems (NELSs) with a directed interaction topology, parametric uncertainties and external disturbances.
Jiuxians Dong +5 more
semanticscholar +1 more source
This paper investigates the finite-time multi-target tracking problem of networked Euler–Lagrange systems (NELSs) with a directed interaction topology, parametric uncertainties and external disturbances.
Jiuxians Dong +5 more
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Resource Scheduling for Distributed Multi-Target Tracking in Netted Colocated MIMO Radar Systems
IEEE Transactions on Signal Processing, 2020In this paper, an effective solution is proposed for joint beam and power scheduling (JBPS) in the netted Colocated MIMO (C-MIMO) radar systems for distributed multi-target tracking (MTT).
Wei Yi +3 more
semanticscholar +1 more source
IEEE International Conference on Robotics and Automation, 2021
This paper introduces the normalized unused sensing capacity to measure the amount of information that a sensor is currently gathering relative to its theoretical maximum.
Jun Chen, P. Dames
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This paper introduces the normalized unused sensing capacity to measure the amount of information that a sensor is currently gathering relative to its theoretical maximum.
Jun Chen, P. Dames
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AMT: Acoustic Multi-target Tracking with Smartphone MIMO System
IEEE Conference on Computer Communications, 2021Acoustic target tracking has shown great advantages for device-free human-machine interaction over vision/RF based mechanisms. However, existing approaches for portable devices solely track single target, incapable for the ubiquitous and highly ...
Chao Liu +3 more
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Multi-Sensor Network Information for Linear-Gaussian Multi-Target Tracking Systems
IEEE Transactions on Signal Processing, 2021Methods for information-theoretic control for networks of sensors are of interest for enabling the development of autonomous sensor systems. In this paper we revisit the fundamentals of information theoretic-based control for multi-target systems and ...
Daniel E. Clark
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Backtracking: Retrospective multi-target tracking
Computer Vision and Image Understanding, 2012We introduce a multi-target tracking algorithm that operates on prerecorded video as typically found in post-incident surveillance camera investigation. Apart from being robust to visual challenges such as occlusion and variation in camera view, our algorithm is also robust to temporal challenges, in particular unknown variation in frame rate.
Koppen, W.P., Worring, M.
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