Please use this identifier to cite or link to this item:
|Title:||Data association for multiple target tracking : an optimization approach|
|Citation:||NEURAL INFORMATION PROCESSING,3316,187-192|
|Abstract:||In multiple target tracking the data association, observation to track fusion, is crucial and plays an important role for success of any tracking algorithm. The observation may be due to true target or may be clutter. In this paper, data association problem is viewed as an optimization problem and two methods, (i) using neural network and (ii) using the evolutionary algorithm, have been proposed and compared.|
|Appears in Collections:||Proceedings papers|
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.