DocumentCode :
3014347
Title :
Detecting moving objects in airborne forward looking infra-red sequences
Author :
Strehl, Alexander ; Aggarwal, J.K.
Author_Institution :
Comput. & Vision Res. Center, Texas Univ., Austin, TX, USA
fYear :
1999
fDate :
1999
Firstpage :
3
Lastpage :
12
Abstract :
In this paper we propose a system that detects independently moving objects (IMOs) in forward looking infra-red (FLIR) image sequences taken from an airborne, moving platform. Ego-motion effects are removed through a robust multi-scale affine image registration process. Consequently, areas with residual motion indicate object activity. These areas are detected, refined and selected using a Bayes´ classifier. The remaining regions are clustered into pairs. Each pair represents an object´s front and rear end. Using motion and scene knowledge we estimate object pose and establish a region-of-interest (ROI) for each pair. Edge elements within each ROI are used to segment the convex cover containing the IMO. We show detailed results on real, complex, cluttered and noisy sequences. Moreover, we outline the integration of our robust system into a comprehensive automatic target recognition (ATR) and action classification system
Keywords :
Bayes methods; image registration; image sequences; infrared imaging; object detection; Bayes´ classifier; action classification system; affine image registration process; airborne forward looking infrared sequences; comprehensive automatic target recognition; egomotion effects; moving objects detection; object activity; region-of-interest; scene knowledge; Forward contracts; Image segmentation; Image sequences; Infrared detectors; Layout; Motion analysis; Motion detection; Motion estimation; Object detection; Target recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision Beyond the Visible Spectrum: Methods and Applications, 1999. (CVBVS '99) Proceedings. IEEE Workshop on
Conference_Location :
Fort Collins, CO
Print_ISBN :
0-7695-0050-1
Type :
conf
DOI :
10.1109/CVBVS.1999.781089
Filename :
781089
Link To Document :
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