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Methods and Approaches for Real-Time Hierarchical Motion Detection

Singh, Ajit; Allen, Peter K.

The recent work on perception and measurement of visual motion has consistently advocated the use of a hierarchical representation and analysis. In most of the practical applications of motion perception it is absolutely necessary to be able to construct and process these hierarchical image representations in real-time. First, we discuss a simple scheme for coarse motion detection that highlights the capabilities of the PIPE image processor, showing its ability to work in both the spatial and temporal dimensions in real-time. Secondly, we show how this architecture can be used to build pyramid structures useful for motion detection, again emphasizing the real-time nature of the computations. Using the PIPE architecture, we have constructed a Pyramid of Oriented Edges (POE) which is a logical extension of Burt's pyramid and also a version of Mallat's pyramid. The results of these algorithms are available on a video tape to highlight their real-time performance on moving images. Third, we propose a new method using PIPE that will allow dense optic flow computation and which relates the intensity-correlation and spatio-temporal frequency based methods of determining optic flow.

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Academic Units
Computer Science
Publisher
Department of Computer Science, Columbia University
Series
Columbia University Computer Science Technical Reports, CUCS-337-88
Published Here
December 9, 2011
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