Reply to "Comments on \´Joint Detection and Estimation of Multiple Objects from Image Observations\´"

Author

Ba-Ngu Vo ; Ba-Tuong Vo ; Nam-Trung Pham ; Suter, David

Author_Institution

Sch. of Electr., Electron. & Comput. Eng., Univ. of Western Australia, Crawley, WA, Australia

Volume

60

Issue

3

fYear

2012

fDate

3/1/2012 12:00:00 AM

Firstpage

1540

Lastpage

1541

Abstract

In this paper we present three theoretical results on conjugate priors for point processes (or random finite sets), namely Poisson, i.i.d. cluster, and multi-Bernoulli. As an example of the use of these results, the multi-Bernoulli conjugate prior was applied to multi-object filtering for image data, which covers various tracking problems, including track before-detect (TkBD). Davey´s comments only concern our implemen tation of the HPMHT algorithm used to benchmark the performance of the multi-Bernoulli filter in a numerical example involving TkBD.

Keywords

filtering theory; object detection; object tracking; stochastic processes; target tracking; HPMHT algorithm; Poisson point process; TkBD; image data; image observation; multiBernoulli filter; multiBernoulli point process; multiobject filtering; multiple object detection; multiple object estimation; track before-detect; Approximation algorithms; Estimation; Heuristic algorithms; Target tracking;

fLanguage

English

Journal_Title

Signal Processing, IEEE Transactions on

Publisher

ieee

ISSN

1053-587X

Type

jour

DOI

10.1109/TSP.2011.2173686

Filename

6105580