Multiframe distortion-tolerant correlation filtering for video sequences

R. Kerekes, B. Narayanaswamy, M. Beattie, B. V.K.Vijaya Kumar, M. Savvides

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Scopus citations

Abstract

Distortion-tolerant correlation filter methods have been applied to many video-based automatic target recognition (ATR) applications, but in a single-frame architecture. In this paper we introduce an efficient framework for combining information from multiple correlation outputs in a probabilistic way. Our framework is capable of handling scenes with an unknown number of targets at unknown positions. The main algorithm in our framework uses a probabilistic mapping of the correlation outputs and takes advantage of a position-independent target motion model in order to efficiently compute posterior target location probabilities. An important feature of the framework is the ability to incorporate any existing correlation filter design, thus facilitating the construction of a distortion-tolerant multi-frame ATR. In our simulations, we incorporate the minimum average correlation energy Mellin radial harmonic (MACE-MRH) correlation filter design, which allows the user to specify the desired scale response of the filter. We test our algorithm on real and synthesized infrared (IR) video sequences that exhibit various degrees of target scale distortion. Our simulation results show that the multi-frame algorithm significantly improves the recognition performance of a MACE-MRH filter while requiring only a marginal increase in computation. We also show that, for an equivalent amount of added computation, using larger filter banks instead of multi-frame information is unable to provide a comparable performance increase.

Original languageEnglish
Title of host publicationOptical Pattern Recognition XVII
DOIs
StatePublished - 2006
Externally publishedYes
EventOptical Pattern Recognition XVII - Kissimmee, FL, United States
Duration: Apr 20 2006Apr 21 2006

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume6245
ISSN (Print)0277-786X

Conference

ConferenceOptical Pattern Recognition XVII
Country/TerritoryUnited States
CityKissimmee, FL
Period04/20/0604/21/06

Fingerprint

Dive into the research topics of 'Multiframe distortion-tolerant correlation filtering for video sequences'. Together they form a unique fingerprint.

Cite this