NDLI: Multitarget tracking performance metric: deficiency aware subpattern assignment

Content Provider	IET Digital Library
Author	Oksuz, Kemal Cemgil, Ali Taylan
Abstract	Multitarget tracking is a sequential estimation problem where conditioned on noisy sensor measurements, state variables of several targets need to be estimated recursively. In this study, the authors propose a novel performance measure for multitarget tracking named as Deficiency Aware Subpattern Assignment (DASA), that can be used to consistently compare algorithms in a broad spectrum of formulations ranging from conventional data association methods to random finite set based multitarget tracking algorithms. The DASA metric combines three components (localisation, type 1 and type 2 errors) in order to represent the behaviour of the tracking filter coherently. Furthermore, a Monte Carlo method is proposed in order to set the cut-off parameter for the case that the measurement model is known. They illustrate in their simulations that DASA improves upon the previously proposed Optimal Subpattern Assignment metric.
Starting Page	373
Ending Page	381
Page Count	9
ISSN	17518784
Volume Number	12
e-ISSN	17518792
Issue Number	Issue 3, Mar (2018)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-rsn/12/3
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-rsn.2017.0390
Journal	IET Radar, Sonar & Navigation
Publisher Date	2018-01-02
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Conventional Data Association Method DASA Metric Combines Three Component Deficiency Aware Subpattern Assignment Filtering Method in Signal Processing Multitarget Tracking Algorithm Multitarget Tracking Performance Metric Noisy Sensor Measurement Optimal Subpattern Assignment Metric Performance Measure Sensor Fusion Sequential Estimation Problem Signal Processing And Detection State Variables Statistics Target Tracking Tracking Filter
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Sensor fusion for vehicle tracking based on the estimated probability

Multi-sensor fusion for multi-target tracking using measurement division

Shape selection partitioning algorithm for Gaussian inverse Wishart probability hypothesis density filter for extended target tracking

Sequential Monte Carlo implementation of cardinality balanced multi-target multi-Bernoulli filter for extended target tracking

Two novel sensor control schemes for multi-target tracking via delta generalised labelled multi-Bernoulli filtering

CBMeMBer filter with adaptive target birth intensity

Adaptive cardinality balanced multi-target multi-Bernoulli filter based on cubature Kalman

Adaptive sensor selection for target tracking using particle filter

Track-to-Track Association for Biased Data Based on the Reference Topology Feature

Multitarget tracking performance metric: deficiency aware subpattern assignment

Similar Documents

Sensor fusion for vehicle tracking based on the estimated probability

Multi-sensor fusion for multi-target tracking using measurement division

Shape selection partitioning algorithm for Gaussian inverse Wishart probability hypothesis density filter for extended target tracking

Sequential Monte Carlo implementation of cardinality balanced multi-target multi-Bernoulli filter for extended target tracking

Two novel sensor control schemes for multi-target tracking via delta generalised labelled multi-Bernoulli filtering

CBMeMBer filter with adaptive target birth intensity

Adaptive cardinality balanced multi-target multi-Bernoulli filter based on cubature Kalman

Adaptive sensor selection for target tracking using particle filter

Track-to-Track Association for Biased Data Based on the Reference Topology Feature

Multitarget tracking performance metric: deficiency aware subpattern assignment