Multichannel dual domain infrared target tracking for highly evolutionary target signatures

Authors:
Colin M. Johnston;Nicholas A. Mould;Joseph P. Havlicek
Affiliations:
School of Electrical and Computer Engineering, University of Oklahoma, Norman, OK;School of Electrical and Computer Engineering, University of Oklahoma, Norman, OK;School of Electrical and Computer Engineering, University of Oklahoma, Norman, OK
Venue:
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Year:
2009

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Abstract

We introduce a new SIR particle filter that performs tracking in a joint feature space where pixel domain data are fused with measurements obtained from an 18-channel modulation domain image mAfter the first frame, the track processor must run autonomously without further a priori information. Compared to traditional pixel domain trackers, our results demonstrate that this new dual domain approach provides inherently improved tracking accuracy and facilitates powerful new consistency checks capable of detecting when a template update is needed due to nonstationary target signature evolution.