TY - GEN
T1 - Joint spatial and frequency domain motion analysis
AU - Ahuja, Narendra
AU - Briassouli, Alexia
PY - 2006
Y1 - 2006
N2 - Traditionally, motion estimation and segmentation have been performed mostly in the spatial domain, i.e., using the luminance information in the video sequence. Frequency domain representation offers an alternative, rich source of motion information, which has been used to a very limited extent in the past, and on relatively simple problems such as image registration. We review our work during the last few years on an approach to video motion analysis that combines spatial and Fourier domain information. We review our methods for (1) basic (translation and rotation) motion estimation and segmentation, for multiple moving objects, with constant as well as time varying velocities; and (2) more complicated motions, such as periodic motion, and periodic motion superposed on translation. The joint space analysis leads to more compact and computationally efficient solutions than existing techniques.
AB - Traditionally, motion estimation and segmentation have been performed mostly in the spatial domain, i.e., using the luminance information in the video sequence. Frequency domain representation offers an alternative, rich source of motion information, which has been used to a very limited extent in the past, and on relatively simple problems such as image registration. We review our work during the last few years on an approach to video motion analysis that combines spatial and Fourier domain information. We review our methods for (1) basic (translation and rotation) motion estimation and segmentation, for multiple moving objects, with constant as well as time varying velocities; and (2) more complicated motions, such as periodic motion, and periodic motion superposed on translation. The joint space analysis leads to more compact and computationally efficient solutions than existing techniques.
UR - http://www.scopus.com/inward/record.url?scp=33750801844&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=33750801844&partnerID=8YFLogxK
U2 - 10.1109/FGR.2006.68
DO - 10.1109/FGR.2006.68
M3 - Conference contribution
AN - SCOPUS:33750801844
SN - 0769525032
SN - 9780769525037
T3 - FGR 2006: Proceedings of the 7th International Conference on Automatic Face and Gesture Recognition
SP - 203
EP - 208
BT - FGR 2006
PB - IEEE Computer Society
T2 - FGR 2006: 7th International Conference on Automatic Face and Gesture Recognition
Y2 - 10 April 2006 through 12 April 2006
ER -