Title :
Extraction of video objects by combined motion and edge analysis
Author :
Jan, Eh-Haw ; Lin, David K.
Author_Institution :
Dept. of Electron. Eng., Nat. Chiao Tung Univ., Hsinchu, Taiwan
Abstract :
We present a method for automatic video region segmentation. The method is based, fundamentally, on motion analysis in image areas showing significant intensity variation. Since motion in these areas can be estimated more accurately than that in smoother areas, segmentation based on such motion information can be more reliable. A frequently encountered problem in automatic video segmentation is that the object boundaries may not be accurately identified: the identified boundaries may extend beyond the actual positions by some distance. We develop an edge delineation method, which combines edge detection and motion analysis, to deal with this problem. Some segmentation examples are provided.
Keywords :
edge detection; feature extraction; image segmentation; image sequences; motion estimation; object recognition; video coding; MPEG-4 applications; automatic video region segmentation; combined motion/edge analysis; edge delineation method; edge detection; motion estimation accuracy; object boundary identification; significant intensity variation image areas; smooth image areas; video motion analysis; video object extraction; Automobiles; Filtering; Image edge detection; Image motion analysis; Image segmentation; Layout; MPEG 4 Standard; Motion analysis; Motion estimation; Video coding;
Conference_Titel :
Circuits and Systems, 2002. ISCAS 2002. IEEE International Symposium on
Print_ISBN :
0-7803-7448-7
DOI :
10.1109/ISCAS.2002.1010794
