Title :
A multi-fractal formalism for stabilization, object detection and tracking in FLIR sequences
Author :
Shekarforoush, H. ; Chellappa, R.
Author_Institution :
Center for Autom. Res., Maryland Univ., College Park, MD, USA
Abstract :
In this paper, we investigate the problem of stabilization, detection and tracking of moving or stationary objects in a forward-looking infrared (FLIR) sequence. A multi-fractal formalism is proposed for stabilization and activity detection and the method is compared to three other classical techniques in image processing
Keywords :
fractals; image motion analysis; image sequences; infrared imaging; object detection; target tracking; FLIR sequences; activity detection; forward-looking infrared sequence; moving objects; multi-fractal formalism; object detection; stabilization; stationary objects; tracking; Automation; Educational institutions; Fractals; Image processing; Image sequence analysis; Infrared detectors; Object detection; Optical filters; Sensor fusion; Surveillance;
Conference_Titel :
Image Processing, 2000. Proceedings. 2000 International Conference on
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-6297-7
DOI :
10.1109/ICIP.2000.899299
