Human detection using OT-MACH filter in cluttered FLIR imagery

Author

Alkandri, Ahmad ; Bangalore, Nagachetan ; Gardezi, Akber ; Birch, Philip ; Young, R. ; Chatwin, Chris

Author_Institution

Dept. of Eng. & Design, Univ. of Sussex, Brighton, UK

fYear

2013

fDate

4-7 April 2013

Firstpage

1

Lastpage

7

Abstract

An improvement to the Optimal Trade-off Maximum Average Correlation Height (OT-MACH) filter with the addition of a Rayleigh distribution filter has been used to detect humans in FLIR imagery scenes. The Rayleigh distribution filter is applied to the OT-MACH filter to provide a sharper low frequency cut-off which improves the OT-MACH filter performance in terms of target discrimination. The OT-MACH filter has been trained using a Computer Aided Design (CAD) model and tested on the corresponding real target object in high clutter environments acquired from a Forward Looking Infra Red (FLIR) sensor. Evaluation of the performance of the Rayleigh modified OT-MACH filter is reported for the recognition of humans present within the thermal infra-red image data set.

Keywords

CAD; filtering theory; infrared imaging; object recognition; CAD model; FLIR imagery scenes; Rayleigh distribution filter; Rayleigh modified OT-MACH filter; cluttered FLIR imagery; computer aided design model; forward looking infrared sensor; human detection; human recognition; optimal trade-off maximum average correlation height filter; real target object; target discrimination; thermal infrared image data set; Band-pass filters; Clutter; Correlation; Design automation; Frequency-domain analysis; Solid modeling; Training; FLIR; MACH filter; OT-MACH filter; Rayleigh distribution filter; human detection; pattern recognition;

fLanguage

English

Publisher

ieee

Conference_Titel

Southeastcon, 2013 Proceedings of IEEE

Conference_Location

Jacksonville, FL

ISSN

1091-0050

Print_ISBN

978-1-4799-0052-7

Type

conf

DOI

10.1109/SECON.2013.6567390

Filename

6567390