Optical Flow From 1D Correlation: Application to a Simple Time-To-Crash Detector
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 measureme...
| Main Authors: | , |
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| Language: | en_US |
| Published: |
2004
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| Online Access: | http://hdl.handle.net/1721.1/6609 |
| _version_ | 1811095500213977088 |
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| author | Ancona, Nicola Poggio, Tomaso |
| author_facet | Ancona, Nicola Poggio, Tomaso |
| author_sort | Ancona, Nicola |
| collection | MIT |
| description | 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. |
| first_indexed | 2024-09-23T16:17:44Z |
| id | mit-1721.1/6609 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T16:17:44Z |
| publishDate | 2004 |
| record_format | dspace |
| spelling | mit-1721.1/66092019-04-11T02:52:33Z Optical Flow From 1D Correlation: Application to a Simple Time-To-Crash Detector Ancona, Nicola Poggio, Tomaso 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. 2004-10-08T20:34:23Z 2004-10-08T20:34:23Z 1993-10-01 AIM-1375 http://hdl.handle.net/1721.1/6609 en_US AIM-1375 767003 bytes 1368054 bytes application/octet-stream application/pdf application/octet-stream application/pdf |
| spellingShingle | Ancona, Nicola Poggio, Tomaso Optical Flow From 1D Correlation: Application to a Simple Time-To-Crash Detector |
| title | Optical Flow From 1D Correlation: Application to a Simple Time-To-Crash Detector |
| title_full | Optical Flow From 1D Correlation: Application to a Simple Time-To-Crash Detector |
| title_fullStr | Optical Flow From 1D Correlation: Application to a Simple Time-To-Crash Detector |
| title_full_unstemmed | Optical Flow From 1D Correlation: Application to a Simple Time-To-Crash Detector |
| title_short | Optical Flow From 1D Correlation: Application to a Simple Time-To-Crash Detector |
| title_sort | optical flow from 1d correlation application to a simple time to crash detector |
| url | http://hdl.handle.net/1721.1/6609 |
| work_keys_str_mv | AT anconanicola opticalflowfrom1dcorrelationapplicationtoasimpletimetocrashdetector AT poggiotomaso opticalflowfrom1dcorrelationapplicationtoasimpletimetocrashdetector |