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Toward an optimal solution for multitarget tracking

TitleToward an optimal solution for multitarget tracking
Publication TypeConference Paper
Year of Publication2007
AuthorsN Kachouie, N., and P. Fieguth
Conference Name2007 IEEE International Conference on Image Processing
Keywordscomputational complexity, joint probabilistic data association, linear programming, multitarget tracking, NP-hard problem, optimal solution, optimization method, probability, sensor fusion, target tracking
Abstract

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.

DOI10.1109/ICIP.2007.4379588