Spatiotemporal signal processing using a discrete 3D multiresolution wavelet analysis
Thomas J. Burns, Steven K. Rogers, Mark E. Oxley, Dennis W. Ruck · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1992
This paper presents a 3D multiresolution wavelet analysis that provides a tool for analyzing spatial details (e.g., horizontal and vertical edges) of moving objects contained in a sequence of images. Current multiresolution wavelet analysis theory is modified to create an orthonormal wavelet basis for L2(R3) by forming the tensor product of three non- identical multiresolution wavelet analyses on L2(R). An unconventional multiresolution decomposition and reconstruction algorithm is presented which provides a new tool for analyzing moving objects in a scene. Preliminary results demonstrate the new analysis technique''s potential for segmenting key characteristics of an object moving against stationary or moving backgrounds.