Abstract
A modified version of the CDWT optical flow algorithm developed by Magarey and Kingsbury is applied to the problem of moving-target detection in noisy infrared image sequences, in the case where the sensor is also moving. Frame differencing is used to detect pixel-size targets moving in strongly cluttered backgrounds. To compensate for sensor motion, prior to differencing, the background is registered spatially using the estimated motion field between the frames. Results of applying the method to three image sequences show that the target SNR is higher when the estimated motion field for the whole scene is explicitly regularized. A comparison with another optical flow algorithm is also presented.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
