Optical Flow From 1D Correlation: Application to a Simple Time-To-Crash Detector
dc.date.accessioned | 2004-10-08T20:34:23Z | |
dc.date.accessioned | 2018-11-24T10:15:37Z | |
dc.date.available | 2004-10-08T20:34:23Z | |
dc.date.available | 2018-11-24T10:15:37Z | |
dc.date.issued | 1993-10-01 | en_US |
dc.identifier.uri | http://hdl.handle.net/1721.1/6609 | |
dc.identifier.uri | http://repository.aust.edu.ng/xmlui/handle/1721.1/6609 | |
dc.description.abstract | In the first part of this paper we show that a new technique exploiting 1D correlation of 2D or even 1D patches between successive frames may be sufficient to compute a satisfactory estimation of the optical flow field. The algorithm is well-suited to VLSI implementations. The sparse measurements provided by the technique can be used to compute qualitative properties of the flow for a number of different visual tsks. In particular, the second part of the paper shows how to combine our 1D correlation technique with a scheme for detecting expansion or rotation ([5]) in a simple algorithm which also suggests interesting biological implications. The algorithm provides a rough estimate of time-to-crash. It was tested on real image sequences. We show its performance and compare the results to previous approaches. | en_US |
dc.format.extent | 767003 bytes | |
dc.format.extent | 1368054 bytes | |
dc.language.iso | en_US | |
dc.title | Optical Flow From 1D Correlation: Application to a Simple Time-To-Crash Detector | en_US |
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