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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Beresford-Smith, B. Van Helden, D.F. |
| Copyright Year | 1994 |
| Description | Author affiliation: Dept. of Comput. Sci., Newcastle Univ., Callaghan, NSW, Australia (Beresford-Smith, B.) |
| Abstract | A standard algorithm based on the Kalman Filter and used for tracking multiple targets in a noisy environment has been applied to analysing the motion of cells in video images. The method, known as Probabilistic Data Association, is computationally efficient, allowing simultaneous monitoring of many cells at video frame rates of 25 Hz. The present study uses the tracking procedure to investigate the motion of human sperm cells. Extensions to allow the tracking of many hundreds of cells at video rates using a massively data parallel computer are explained. The procedure is well suited for real time tracking of other visualised biological events. |
| Starting Page | 411 |
| Ending Page | 415 |
| File Size | 483940 |
| Page Count | 5 |
| File Format | |
| ISBN | 0818669527 |
| DOI | 10.1109/ICIP.1994.413346 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1994-11-13 |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Radar tracking Motion analysis Target tracking Working environment noise Image analysis Image motion analysis Algorithm design and analysis Computerized monitoring Humans Biology computing |
| Content Type | Text |
| Resource Type | Article |
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