Dae-Yeon Won*, Sang-Wook Shim*, Keum-Seong Kim*, Min-Jea Tahk** and Eung-Tai Kim***
International Journal of Aeronautical and Space Sicences, vol. 13, no. 1, pp.126-132, 2012

Abstract : Track-before-detect techniques based on dynamic programming have provided solutions for detecting targets from a sequence of images. In its application to airborne threat detection, dynamic programming solutions should take into account the distinguishable properties of objects in a collision course. This paper describes the development of a new track scoring function that accumulates scores for airborne targets in Bayesian framework. Numerical results show that the proposed scoring function has slightly better detection capabilities.

Keyword : Dynamic programming, Airborne target detection, Track-before-detect