A Novel Square-Root Cubature Information Weighted Consensus Filter Algorithm for Multi-Target Tracking in Distributed Camera Networks

This paper deals with the problem of multi-target tracking in a distributed camera network using the square-root cubature information filter (SCIF). SCIF is an efficient and robust nonlinear filter for multi-sensor data fusion. In camera networks, multiple cameras are arranged in a dispersed manner...

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Main Authors: Yanming Chen, Qingjie Zhao
Format: Article
Language:English
Published: MDPI AG 2015-05-01
Series:Sensors
Subjects:
Online Access:http://www.mdpi.com/1424-8220/15/5/10526
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author Yanming Chen
Qingjie Zhao
author_facet Yanming Chen
Qingjie Zhao
author_sort Yanming Chen
collection DOAJ
description This paper deals with the problem of multi-target tracking in a distributed camera network using the square-root cubature information filter (SCIF). SCIF is an efficient and robust nonlinear filter for multi-sensor data fusion. In camera networks, multiple cameras are arranged in a dispersed manner to cover a large area, and the target may appear in the blind area due to the limited field of view (FOV). Besides, each camera might receive noisy measurements. To overcome these problems, this paper proposes a novel multi-target square-root cubature information weighted consensus filter (MTSCF), which reduces the effect of clutter or spurious measurements using joint probabilistic data association (JPDA) and proper weights on the information matrix and information vector. The simulation results show that the proposed algorithm can efficiently track multiple targets in camera networks and is obviously better in terms of accuracy and stability than conventional multi-target tracking algorithms.
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spelling doaj.art-8ffbf1aa29d24fac886072a27f9ab32f2022-12-22T04:21:13ZengMDPI AGSensors1424-82202015-05-01155105261054610.3390/s150510526s150510526A Novel Square-Root Cubature Information Weighted Consensus Filter Algorithm for Multi-Target Tracking in Distributed Camera NetworksYanming Chen0Qingjie Zhao1Beijing Key Laboratory of Intelligence Information Technology, School of Computer Science, Beijing Institute of Technology, Beijing 100081, ChinaBeijing Key Laboratory of Intelligence Information Technology, School of Computer Science, Beijing Institute of Technology, Beijing 100081, ChinaThis paper deals with the problem of multi-target tracking in a distributed camera network using the square-root cubature information filter (SCIF). SCIF is an efficient and robust nonlinear filter for multi-sensor data fusion. In camera networks, multiple cameras are arranged in a dispersed manner to cover a large area, and the target may appear in the blind area due to the limited field of view (FOV). Besides, each camera might receive noisy measurements. To overcome these problems, this paper proposes a novel multi-target square-root cubature information weighted consensus filter (MTSCF), which reduces the effect of clutter or spurious measurements using joint probabilistic data association (JPDA) and proper weights on the information matrix and information vector. The simulation results show that the proposed algorithm can efficiently track multiple targets in camera networks and is obviously better in terms of accuracy and stability than conventional multi-target tracking algorithms.http://www.mdpi.com/1424-8220/15/5/10526cubature Kalman filterinformation filterconsensus algorithmmulti-target trackingdistributed camera networks
spellingShingle Yanming Chen
Qingjie Zhao
A Novel Square-Root Cubature Information Weighted Consensus Filter Algorithm for Multi-Target Tracking in Distributed Camera Networks
Sensors
cubature Kalman filter
information filter
consensus algorithm
multi-target tracking
distributed camera networks
title A Novel Square-Root Cubature Information Weighted Consensus Filter Algorithm for Multi-Target Tracking in Distributed Camera Networks
title_full A Novel Square-Root Cubature Information Weighted Consensus Filter Algorithm for Multi-Target Tracking in Distributed Camera Networks
title_fullStr A Novel Square-Root Cubature Information Weighted Consensus Filter Algorithm for Multi-Target Tracking in Distributed Camera Networks
title_full_unstemmed A Novel Square-Root Cubature Information Weighted Consensus Filter Algorithm for Multi-Target Tracking in Distributed Camera Networks
title_short A Novel Square-Root Cubature Information Weighted Consensus Filter Algorithm for Multi-Target Tracking in Distributed Camera Networks
title_sort novel square root cubature information weighted consensus filter algorithm for multi target tracking in distributed camera networks
topic cubature Kalman filter
information filter
consensus algorithm
multi-target tracking
distributed camera networks
url http://www.mdpi.com/1424-8220/15/5/10526
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AT yanmingchen novelsquarerootcubatureinformationweightedconsensusfilteralgorithmformultitargettrackingindistributedcameranetworks
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