TY - JOUR
T1 - Extraction of video objects by combined motion and edge analysis
AU - Jan, Yih Haw
AU - Lin, David W.
PY - 2002
Y1 - 2002
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=0036293011&partnerID=8YFLogxK
U2 - 10.1109/ISCAS.2002.1010794
DO - 10.1109/ISCAS.2002.1010794
M3 - Conference article
AN - SCOPUS:0036293011
SN - 0271-4310
VL - 5
SP - V/677-V/680
JO - Proceedings - IEEE International Symposium on Circuits and Systems
JF - Proceedings - IEEE International Symposium on Circuits and Systems
T2 - 2002 IEEE International Symposium on Circuits and Systems
Y2 - 26 May 2002 through 29 May 2002
ER -