Title :
High-Resolution Bayes Detection of Dim Moving Point Target in IR Image Sequence Using Probabilistic Data Association Filter
Author :
Hamdulla, Askar ; Lian, Xingke
Author_Institution :
Coll. of Inf. Sci. & Eng., Xinjiang Univ., Urumqi
Abstract :
Probabilistic data association (PDA) technique was found its broad applications in Radar target tracking. In this paper, based on the basic idea of PDA, a bayes-rule based high-resolution detection algorithm for dim moving point target in images sequence is presented: derived the formula for computing location-dependent Bayes threshold and posterior association probabilities for every measurement being a true target location. And the comparative performance analysis are also given in this paper.
Keywords :
Bayes methods; image sequences; infrared imaging; sensor fusion; target tracking; Bayes detection; IR image sequence; dim moving point target; probabilistic data association filter; radar target tracking; Detection algorithms; Filters; Image sequences; Infrared detectors; Personal digital assistants; Radar applications; Radar detection; Radar imaging; Radar tracking; Target tracking; Dim moving point target; IR image sequence; Kalman filter; probabilistic data association filter;
Conference_Titel :
Computer Science and Software Engineering, 2008 International Conference on
Conference_Location :
Wuhan, Hubei
Print_ISBN :
978-0-7695-3336-0
DOI :
10.1109/CSSE.2008.329