@inproceedings {370,
	title = {Toward an optimal solution for multitarget tracking},
	booktitle = {2007 IEEE International Conference on Image Processing},
	year = {2007},
	abstract = {<p>There are ever increasing number of applications of multi-target tracking and considerable research has been conducted to solve this problem. Multi-target tracking is a NP-hard problem and almost all of the present multi-target tracking algorithms are sub-optimal by finding the solution in a reduced hypothesis space. In this paper we introduce a new approach toward finding the optimal single frame solution for general multi-target tracking problem. Our proposed method finds the optimal solution using linear programming optimization method. The proposed method has been successfully applied to synthetic and real data.</p>
},
	keywords = {computational complexity, joint probabilistic data association, linear programming, multitarget tracking, NP-hard problem, optimal solution, optimization method, probability, sensor fusion, target tracking},
	doi = {http://dx.doi.org/10.1109/ICIP.2007.4379588},
	author = {N Nezamoddin Kachouie and P Fieguth}
}
