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A nonconvex cost optimization approach to tracking multiple targets

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
Related URLs:
URLURL TypeDescription
https://doi.org/10.1109/IROS.1990.262365DOIArticle
http://ieeexplore.ieee.org/document/262365/PublisherArticle
Additional Information:© 1990 IEEE.
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:03 Oct 2019 18:10

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