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Human detection using OT-MACH filter in cluttered FLIR imagery

posted on 2023-06-08, 21:40 authored by Ahmad Alkandri, Nagachetan Bangalore, Akber Gardezi, Phil BirchPhil Birch, Rupert YoungRupert Young, Chris ChatwinChris Chatwin
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.


Publication status

  • Published

File Version

  • Published version

Presentation Type

  • paper

Event name

Southeastcon, 2013 Proceedings of IEEE

Event location

Jacksonville, FL, USA

Event type


Event date

4-7 April 2013

Department affiliated with

  • Engineering and Design Publications

Full text available

  • No

Peer reviewed?

  • Yes

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