Rose, Kenneth and Gurewitz, Eitan and Fox, Geoffrey (1990) A nonconvex cost optimization approach to tracking multiple targets. In: IEEE International Workshop on Intelligent Robots and Systems, Towards a New Frontier of Applications. IEEE , Piscatway, NJ, pp. 25-31. https://resolver.caltech.edu/CaltechAUTHORS:20170628-170159371
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Abstract
The problem of tracking multiple targets in the presence of displacement noise and clutter is formulated as a nonconvex optimization problem. The form of the suggested cost function is shown to be suitable for the Graduated Non-Convexity algorithm, which can be viewed as deterministic annealing. The method is first derived for the two-dimensional (spatial/temporal) case, and then generalized to the multi-dimensional case. The complexity grows linearly with the number of targets. Computer simulations show the performance with crossing trajectories.
| Item Type: | Book Section | |||||||||
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| Additional Information: | © 1990 IEEE. | |||||||||
| DOI: | 10.1109/IROS.1990.262365 | |||||||||
| Record Number: | CaltechAUTHORS:20170628-170159371 | |||||||||
| Persistent URL: | https://resolver.caltech.edu/CaltechAUTHORS:20170628-170159371 | |||||||||
| Official Citation: | K. Rose, E. Gurewitz and G. Fox, "A nonconvex cost optimization approach to tracking multiple targets," EEE International Workshop on Intelligent Robots and Systems, Towards a New Frontier of Applications, Ibaraki, 1990, pp. 25-31 vol.1. doi: 10.1109/IROS.1990.262365 | |||||||||
| Usage Policy: | No commercial reproduction, distribution, display or performance rights in this work are provided. | |||||||||
| ID Code: | 78680 | |||||||||
| Collection: | CaltechAUTHORS | |||||||||
| Deposited By: | Kristin Buxton | |||||||||
| Deposited On: | 29 Jun 2017 01:44 | |||||||||
| Last Modified: | 15 Nov 2021 17:42 |
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