Title :
A New Adaptive Zoom Algorithm for Tracking Targets Using Pan-Tilt-Zoom Cameras
Author :
Shah, Himanshu ; Morrell, Darryl
Author_Institution :
Dept. of Electr. Eng., Arizona State Univ., AZ
fDate :
Oct. 28 2005-Nov. 1 2005
Abstract :
We present a new method to adaptively configure the focal-length of a pan-tilt-zoom camera to track a point target with improved accuracy. The target tracker is implemented by using a Rao-Blackwellized particle filter. The focal-length of the camera is configured to include a time varying percentage of the projected particles on the camera image plane. The performance of the adaptive zoom algorithm was evaluated using Monte Carlo simulations and found to significantly reduce tracking errors compared to a previous method presented by the same authors
Keywords :
Monte Carlo methods; cameras; image processing; matrix algebra; particle filtering (numerical methods); target tracking; Monte Carlo; Rao-Blackwellized particle filter; adaptive zoom algorithm; focal-length; pan-tilt-zoom cameras; tracking targets; Cameras; Carbon capture and storage; Chromium; Geometry; Infrared sensors; Particle filters; Particle tracking; Radar tracking; Sensor systems; Target tracking;
Conference_Titel :
Signals, Systems and Computers, 2005. Conference Record of the Thirty-Ninth Asilomar Conference on
Conference_Location :
Pacific Grove, CA
Print_ISBN :
1-4244-0131-3
DOI :
10.1109/ACSSC.2005.1599701
