Visual Tracking
A typical robot vision scenario might involve a vehicle moving with an unknown 3D motion (translation and rotation) while taking intensity images of an arbitrary environment. This paper describes the theory and implementation issues of tracking any desired point in the environment. This method is pe...
| Main Author: | |
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| Language: | en_US |
| Published: |
2004
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| Online Access: | http://hdl.handle.net/1721.1/6612 |
| _version_ | 1811096778737451008 |
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| author | Taalebinezhaad, M. Ali |
| author_facet | Taalebinezhaad, M. Ali |
| author_sort | Taalebinezhaad, M. Ali |
| collection | MIT |
| description | A typical robot vision scenario might involve a vehicle moving with an unknown 3D motion (translation and rotation) while taking intensity images of an arbitrary environment. This paper describes the theory and implementation issues of tracking any desired point in the environment. This method is performed completely in software without any need to mechanically move the camera relative to the vehicle. This tracking technique is simple an inexpensive. Furthermore, it does not use either optical flow or feature correspondence. Instead, the spatio-temporal gradients of the input intensity images are used directly. The experimental results presented support the idea of tracking in software. The final result is a sequence of tracked images where the desired point is kept stationary in the images independent of the nature of the relative motion. Finally, the quality of these tracked images are examined using spatio-temporal gradient maps. |
| first_indexed | 2024-09-23T16:48:53Z |
| id | mit-1721.1/6612 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T16:48:53Z |
| publishDate | 2004 |
| record_format | dspace |
| spelling | mit-1721.1/66122019-04-12T08:31:38Z Visual Tracking Taalebinezhaad, M. Ali A typical robot vision scenario might involve a vehicle moving with an unknown 3D motion (translation and rotation) while taking intensity images of an arbitrary environment. This paper describes the theory and implementation issues of tracking any desired point in the environment. This method is performed completely in software without any need to mechanically move the camera relative to the vehicle. This tracking technique is simple an inexpensive. Furthermore, it does not use either optical flow or feature correspondence. Instead, the spatio-temporal gradients of the input intensity images are used directly. The experimental results presented support the idea of tracking in software. The final result is a sequence of tracked images where the desired point is kept stationary in the images independent of the nature of the relative motion. Finally, the quality of these tracked images are examined using spatio-temporal gradient maps. 2004-10-08T20:34:27Z 2004-10-08T20:34:27Z 1992-10-01 AIM-1382 http://hdl.handle.net/1721.1/6612 en_US AIM-1382 2148017 bytes 1668522 bytes application/postscript application/pdf application/postscript application/pdf |
| spellingShingle | Taalebinezhaad, M. Ali Visual Tracking |
| title | Visual Tracking |
| title_full | Visual Tracking |
| title_fullStr | Visual Tracking |
| title_full_unstemmed | Visual Tracking |
| title_short | Visual Tracking |
| title_sort | visual tracking |
| url | http://hdl.handle.net/1721.1/6612 |
| work_keys_str_mv | AT taalebinezhaadmali visualtracking |