Image enhancement and moving target detection in IR image sequences
conference paper
Results are presented of noise reduction by motion compensated temporal filtering in a noisy IR
image sequence and of moving target detection in an air-to-ground IR image sequence. In the case of
motion compensated temporal filtering our approach consists of estimating the optical flow between
successive frames and subsequently averaging a small number of images. Moving targets are detected
by first estimating the optical flow between successive frames. Target detection amounts to comparing a
predicted frame, based on the estimated optical flow, to the actual frame. Thus, it is possible to detect
targets without making assumptions on their appearance. The particular motion estimator used was
found to be especially useful in the case of IR imagery, because the estimator is relatively insensitive to
noise and global brightness variations
image sequence and of moving target detection in an air-to-ground IR image sequence. In the case of
motion compensated temporal filtering our approach consists of estimating the optical flow between
successive frames and subsequently averaging a small number of images. Moving targets are detected
by first estimating the optical flow between successive frames. Target detection amounts to comparing a
predicted frame, based on the estimated optical flow, to the actual frame. Thus, it is possible to detect
targets without making assumptions on their appearance. The particular motion estimator used was
found to be especially useful in the case of IR imagery, because the estimator is relatively insensitive to
noise and global brightness variations
TNO Identifier
94664
Publisher
SPIE
Source title
Infrared Technology XIX, 12-14 July 1993, San Diego, CA
Editor(s)
Andresen, B.F.
Shepherd, F.D.
Shepherd, F.D.
Place of publication
Bellingham, WA.
Pages
187-195