Dual Sensor Control Scheme for Multi-Target Tracking
Sensor control is a challenging issue in the field of multi-target tracking. It involves multi-target state estimation and the optimal control of the sensor. To maximize the overall utility of the surveillance system, we propose a dual sensor control scheme. This work is formulated in the framework...
Main Authors: | , |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2018-05-01
|
Series: | Sensors |
Subjects: | |
Online Access: | http://www.mdpi.com/1424-8220/18/5/1653 |
id |
doaj-bc8b534b915a4ec1ba62c243cd310412 |
---|---|
record_format |
Article |
spelling |
doaj-bc8b534b915a4ec1ba62c243cd3104122020-11-25T01:08:00ZengMDPI AGSensors1424-82202018-05-01185165310.3390/s18051653s18051653Dual Sensor Control Scheme for Multi-Target TrackingWei Li0Chongzhao Han1MOE KLINNS Lab, Institute of Integrated Automation, School of Electronic and Information Engineering, Xi’an Jiaotong University, Xi’an 710049, ChinaMOE KLINNS Lab, Institute of Integrated Automation, School of Electronic and Information Engineering, Xi’an Jiaotong University, Xi’an 710049, ChinaSensor control is a challenging issue in the field of multi-target tracking. It involves multi-target state estimation and the optimal control of the sensor. To maximize the overall utility of the surveillance system, we propose a dual sensor control scheme. This work is formulated in the framework of partially observed Markov decision processes (POMDPs) with Mahler’s finite set statistics (FISST). To evaluate the performance associated with each control action, a key element is to design an appropriate metric. From a task-driven perspective, we utilize a metric to minimize the posterior distance between the sensor and the target. This distance-related metric promotes the design of a dual sensor control scheme. Moreover, we introduce a metric to maximize the predicted average probability of detection, which will improve the efficiency by avoiding unnecessary update processes. Simulation results indicate that the performance of the proposed algorithm is significantly superior to the existing methods.http://www.mdpi.com/1424-8220/18/5/1653sensor controlPOMDPsmulti-target trackingFISST-based filter |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Wei Li Chongzhao Han |
spellingShingle |
Wei Li Chongzhao Han Dual Sensor Control Scheme for Multi-Target Tracking Sensors sensor control POMDPs multi-target tracking FISST-based filter |
author_facet |
Wei Li Chongzhao Han |
author_sort |
Wei Li |
title |
Dual Sensor Control Scheme for Multi-Target Tracking |
title_short |
Dual Sensor Control Scheme for Multi-Target Tracking |
title_full |
Dual Sensor Control Scheme for Multi-Target Tracking |
title_fullStr |
Dual Sensor Control Scheme for Multi-Target Tracking |
title_full_unstemmed |
Dual Sensor Control Scheme for Multi-Target Tracking |
title_sort |
dual sensor control scheme for multi-target tracking |
publisher |
MDPI AG |
series |
Sensors |
issn |
1424-8220 |
publishDate |
2018-05-01 |
description |
Sensor control is a challenging issue in the field of multi-target tracking. It involves multi-target state estimation and the optimal control of the sensor. To maximize the overall utility of the surveillance system, we propose a dual sensor control scheme. This work is formulated in the framework of partially observed Markov decision processes (POMDPs) with Mahler’s finite set statistics (FISST). To evaluate the performance associated with each control action, a key element is to design an appropriate metric. From a task-driven perspective, we utilize a metric to minimize the posterior distance between the sensor and the target. This distance-related metric promotes the design of a dual sensor control scheme. Moreover, we introduce a metric to maximize the predicted average probability of detection, which will improve the efficiency by avoiding unnecessary update processes. Simulation results indicate that the performance of the proposed algorithm is significantly superior to the existing methods. |
topic |
sensor control POMDPs multi-target tracking FISST-based filter |
url |
http://www.mdpi.com/1424-8220/18/5/1653 |
work_keys_str_mv |
AT weili dualsensorcontrolschemeformultitargettracking AT chongzhaohan dualsensorcontrolschemeformultitargettracking |
_version_ |
1725184846772305920 |