Title :
Detection of moving objects in facial image sequences
Author :
Yahampath, P. ; Chen, H. ; Kinsner, W.
Author_Institution :
Dept. of Electr. & Comput. Eng., Manitoba Univ., Winnipeg, Man., Canada
Abstract :
An approach to detection of moving objects in facial image sequences, with application to very low bit rate video coding is presented. In this approach, a split-and-merge procedure is used. The basis of the approach is the segmentation of a given frame based on edge detection and subsequent merging of regions based on motion analysis. The edge detection has been achieved using the wavelet transform. The motion estimation is based on a geometric model for the objects to be detected. Preliminary results obtained with typical head and shoulder images are presented
Keywords :
edge detection; image segmentation; image sequences; motion estimation; object detection; video coding; wavelet transforms; VLBR coding; edge detection; facial image sequences; frame segmentation; geometric model; head and shoulder images; motion analysis; motion estimation; moving objects detection; split-and-merge procedure; very low bit rate coding; video coding; wavelet transform; Bit rate; Face detection; Image edge detection; Image segmentation; Image sequences; Merging; Motion analysis; Object detection; Video coding; Wavelet transforms;
Conference_Titel :
Electrical and Computer Engineering, 1998. IEEE Canadian Conference on
Conference_Location :
Waterloo, Ont.
Print_ISBN :
0-7803-4314-X
DOI :
10.1109/CCECE.1998.682761
