Spatiotemporal signal processing using a discrete 3D multiresolution wavelet analysis

Thomas J. Burns; Steven K. Rogers; Mark E. Oxley; Dennis W. Ruck

doi:10.1117/12.131584

1 November 1992 Spatiotemporal signal processing using a discrete 3D multiresolution wavelet analysis

Thomas J. Burns, Steven K. Rogers, Mark E. Oxley, Dennis W. Ruck

Proceedings Volume 1826, Intelligent Robots and Computer Vision XI: Biological, Neural Net, and 3D Methods; (1992) https://doi.org/10.1117/12.131584
Event: Applications in Optical Science and Engineering, 1992, Boston, MA, United States

Abstract

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.

Citation Download Citation

Thomas J. Burns, Steven K. Rogers, Mark E. Oxley, and Dennis W. Ruck "Spatiotemporal signal processing using a discrete 3D multiresolution wavelet analysis", Proc. SPIE 1826, Intelligent Robots and Computer Vision XI: Biological, Neural Net, and 3D Methods, (1 November 1992); https://doi.org/10.1117/12.131584

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