A Frequency Domain Algorithm for Multiframe Detection and Estimation of Dim Targets
IEEE Transactions on Pattern Analysis and Machine Intelligence
On the Computation of Optical Flow using the 3-D GaborTransform
Multidimensional Systems and Signal Processing - Special issue on recent developments in time-frequency analysis
Estimation of multiple periodic motions from video
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part I
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A novel motion detection technique for multiple objects from image sequences is proposed. The algorithm is based on directional filtering in the spatio-temporal frequency domain. By using three dimensional Fast Fourier Transform because of its computational efficiency, spectrum of the object moving at constant velocity lies in several parallel planes in the frequency domain. The object's velocity is estimated by detecting the orientation of those planes. This problem can be reduced to detecting the orientation of parallel lines in the plane intersecting those planes by using direction-tuned filters. Statistical estimation is used to eliminate the uncertainty which originates from non-orthogonality of the filters. Experimental results applied to computer generated images and real-life video images are also described.