Title :
Moving Object Segmentation and Dynamic Scene Reconstruction Using Two Frames
Author :
Agrawal, Amit K ; Chellappa, Rama
Author_Institution :
Dept. of Electr. & Comput. Eng., Maryland Univ., College Park, MD, USA
fDate :
March 18-23, 2005
Keywords :
image reconstruction; image segmentation; least mean squares methods; motion estimation; video signal processing; ego-motion estimation; independent moving object segmentation; intensity images; least median of squares; parallax constraints; parametric flow model; static scene 3D structure; subspace analysis; surface parallax; two-frame method; unconstrained translational motion; video dynamic scene reconstruction; Cameras; Clustering algorithms; Collaboration; Image motion analysis; Image segmentation; Layout; Motion estimation; Object segmentation; Shape; Vehicle dynamics;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2005. Proceedings. (ICASSP '05). IEEE International Conference on
Print_ISBN :
0-7803-8874-7
DOI :
10.1109/ICASSP.2005.1415502
