Title :
Fusion of frequency and spatial domain information for motion analysis
Author :
Briassouli, Alexia ; Ahuja, Narendra
Author_Institution :
Dept. of Electr. & Comput. Eng., Illinois Univ., Urbana, IL, USA
Abstract :
This work presents an approach to the analysis of multiple motions in video, which combines frequency and spatial domain information in a new manner. The tasks of interest are finding the number of moving objects, velocity estimation, object tracking, and motion segmentation. We propose a novel, hybrid approach, which avoids problems of spatial domain methods, like sensitivity to illumination changes or great computational cost, but also uses spatial information for precise object localization. Experiments with synthetic and real sequences, show both the possibilities and limitations of this approach.
Keywords :
Fourier transforms; image motion analysis; image representation; Fourier transform; frequency fusion; image representation; motion analysis; motion segmentation; moving objects; object tracking; spatial domain information fusion; velocity estimation; Computational efficiency; Computer vision; Frequency domain analysis; Frequency estimation; Information analysis; Lighting; Motion analysis; Motion estimation; Motion segmentation; Video sequences;
Conference_Titel :
Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference on
Print_ISBN :
0-7695-2128-2
DOI :
10.1109/ICPR.2004.1334089