TY - CHAP
T1 - Improved image segmentation using motion
AU - Howell, L.
AU - Child, P.
AU - Hall, P.
PY - 2013/1/1
Y1 - 2013/1/1
N2 - Existing video segmentation methods struggle to work accurately on production images. In particular, methods that rely on colour analysis can suffer when object and background colour ranges are similar. We extend one state of the art method by incorporating motion information from video frames. When tested on a variety of production footage, our new method shows significantly improved results.
AB - Existing video segmentation methods struggle to work accurately on production images. In particular, methods that rely on colour analysis can suffer when object and background colour ranges are similar. We extend one state of the art method by incorporating motion information from video frames. When tested on a variety of production footage, our new method shows significantly improved results.
UR - http://www.scopus.com/inward/record.url?scp=84897598423&partnerID=8YFLogxK
UR - http://dx.doi.org/10.1145/2534008.2534012
U2 - 10.1145/2534008.2534012
DO - 10.1145/2534008.2534012
M3 - Chapter or section
AN - SCOPUS:84897598423
SN - 9781450325899
BT - ACM International Conference Proceeding Series
ER -