Title :
A new filtering method for precision target tracking
Author :
Li, Zhi-Yong ; Shen, Zhen-kang
Author_Institution :
Dept. of Electr. Eng., Nat. Univ. of Defence Technol., Hunan, China
Abstract :
A filtering method for precision tracking of the centroid of a target from a FLIR imaging sensor is presented. Statistical characterization of the centroid and the centroid offset between two consecutive frames of the target is derived. The relations that map the video noise statistics into the measurement noise statistics are analyzed, and their explicit expressions are obtained. The offset measurement noise is shown to be autocorrelated. Improved state variable models for tracking the target centroid are proposed. Subpixel tracking accuracy is achieved
Keywords :
filtering and prediction theory; image processing; image sensors; infrared detectors; random noise; statistical analysis; tracking; FLIR imaging sensor; centroid; consecutive frames; filtering; measurement noise statistics; offset measurement noise; precision target tracking; state variable models; video noise statistics; Filtering; Image analysis; Image sensors; Image sequences; Noise measurement; Recursive estimation; Shape; Statistical analysis; Statistics; Target tracking;
Conference_Titel :
Aerospace and Electronics Conference, 1992. NAECON 1992., Proceedings of the IEEE 1992 National
Conference_Location :
Dayton, OH
Print_ISBN :
0-7803-0652-X
DOI :
10.1109/NAECON.1992.220545
