Abstract
The SC-PHD filter is an algorithm which was designed to solve a class of multiple object estimation problems where it is necessary to estimate the state of a single-target parent process, in addition to estimating the state of a multi-object population which is conditioned on it. The filtering process usually employs a number of particles to represent the parent process, coupled each with a conditional PHD filter, which is computationally burdensome. In this article, an implementation is described which exploits the parallel nature of the filter to obtain considerable speed-up with the help of a GPU. Several considerations need to be taken into account to make efficient use of the GPU, and these are also described here.
Original language | English |
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Title of host publication | 2014 International Conference on Control, Automation and Information Sciences, ICCAIS 2014 |
Publisher | IEEE |
Pages | 53-58 |
Number of pages | 6 |
ISBN (Print) | 9781479972043 |
DOIs | |
Publication status | Published - 2014 |
Event | 3rd International Conference on Control, Automation and Information Sciences - Gwangju, United Kingdom Duration: 2 Dec 2014 → 5 Dec 2014 |
Conference
Conference | 3rd International Conference on Control, Automation and Information Sciences |
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Abbreviated title | ICCAIS 2014 |
Country/Territory | United Kingdom |
City | Gwangju |
Period | 2/12/14 → 5/12/14 |