Human detection using OT-MACH filter in cluttered FLIR imagery

Alkandri, Ahmad, Bangalore, Nagachetan, Gardezi, Akber, Birch, Philip, Young, Rupert and Chatwin, Chris (2013) Human detection using OT-MACH filter in cluttered FLIR imagery. In: Southeastcon, 2013 Proceedings of IEEE, 4-7 April 2013, Jacksonville, FL, USA.

[img] PDF - Published Version
Restricted to SRO admin only

Download (627kB)

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.

Item Type: Conference or Workshop Item (Paper)
Keywords: MACH filter; OT-MACH filter; pattern recognition; FLIR; Rayleigh distribution filter, human detection
Schools and Departments: School of Engineering and Informatics > Engineering and Design
Subjects: Q Science
T Technology
Depositing User: Chris Chatwin
Date Deposited: 16 Jul 2015 09:58
Last Modified: 16 Jul 2015 09:58
URI: http://sro.sussex.ac.uk/id/eprint/55387

View download statistics for this item

📧 Request an update