DSP seminar, Wed Nov. 16 Time and location: 4:00-5:00 PM 2269 Beckman Institute


Title: Integration of Space and Frequency for Motion Estimation and Segmentation


Speaker: Alexia Briassouli

Graduate Student
ECE Department, UIUC


Abstract:


Research in digital video technology is constantly evolving, as new communications 
systems are increasingly using multimedia content.
Thus, the analysis of multiple motions in video is particularly important, as it 
allows the characterization of the sequence, and its segmentation into differently 
moving entities. Numerous methods have been developed for the motion estimation in 
video, using information from the spatial or spectral domain. We investigate new 
approaches for the analysis of multiple motions in video, by integrating frequency 
and spatial domain information.
The tasks of interest are finding the number of moving objects, velocity estimation, 
object tracking, and motion segmentation. The proposed, hybrid approach, performs 
the motion estimation based on frequency domain information, but also uses spatial 
information for precise object localization. Unlike existing frequency domain methods, 
its use is not limited to constant translational motions, but can also address the 
problem of roto-translational and non-constant motions. The validity, effectiveness, 
and potential of the proposed approaches is verified through experiments with both 
synthetic and real video sequences.