NDLI: Making the probabilistic multi-hypothesis tracker the tracker of choice

Content Provider	IEEE Xplore Digital Library
Author	Willett, P. Yanhua Ruan Streit, R.
Copyright Year	1999
Description	Author affiliation: Connecticut Univ., Storrs, CT, USA (Willett, P.)
Abstract	The probabilistic multi-hypothesis tracker (PMHT) is an algorithm of considerable beauty. In practice, its performance turns out to be similar to that of the probabilistic data association filter (PDAF) in many cases; and since the implementation of the PDAF is less intense numerically the PMHT has been having a hard time finding acceptance. The task, therefore, is to "make the PMHT work". The PMHT's problems are expressed as "nonadaptivity", "narcissism", and "over-hospitality to clutter". In this paper we show (in section 3) modifications to the original basic PMHT which offer some improvement. We explore, among other things, "homothetic" measurement models; "endpoint" and "start-point" PMHTs, which modify the PMHT assumptions such that the estimation goal is the track at only one point; maneuver-based PMHTs, including those with separate and joint homothetic measurement models; a modified PMHT whose measurement/target association model is more similar to that of the PDAF; and PMHTs with eccentric and/or estimated measurement models. The above are improvements on the basic PMHT based on modifications of the underlying model. We also offer several basic-PMHT implementations with improved convergence properties.
Starting Page	387
Ending Page	399
File Size	855575
Page Count	13
File Format	PDF
ISBN	0780354257
DOI	10.1109/AERO.1999.792105
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1999-03-07
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Target tracking Iterative algorithms Testing Filters Convergence Iterative methods Parameter estimation Loss measurement
Content Type	Text
Resource Type	Article

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

A graphical model representation of the track-oriented multiple hypothesis tracker

Performance analysis of the Probabilistic Multi-hypothesis Tracking algorithm on the SEABAR data sets

Multi-target tracking in clutter with histogram probabilistic multi-hypothesis tracker

PMHT: problems and some solutions

Performance analysis of Adaptive Probabilistic Multi-hypothesis Tracking with the Metron data sets

PMHT for tracking with timing uncertainty

Probabilistic multi-hypothesis tracking in a multi-sensor, multi-target environment

A Markov model for initiating tracks with the probabilistic multi-hypothesis tracker

Multi-target tracking in clutter with histogram probabilistic multi-hypothesis tracker

Making the probabilistic multi-hypothesis tracker the tracker of choice

Similar Documents

A graphical model representation of the track-oriented multiple hypothesis tracker

Performance analysis of the Probabilistic Multi-hypothesis Tracking algorithm on the SEABAR data sets

Multi-target tracking in clutter with histogram probabilistic multi-hypothesis tracker

PMHT: problems and some solutions

Performance analysis of Adaptive Probabilistic Multi-hypothesis Tracking with the Metron data sets

PMHT for tracking with timing uncertainty

Probabilistic multi-hypothesis tracking in a multi-sensor, multi-target environment

A Markov model for initiating tracks with the probabilistic multi-hypothesis tracker

Multi-target tracking in clutter with histogram probabilistic multi-hypothesis tracker

Making the probabilistic multi-hypothesis tracker the tracker of choice