Morphological segmentation of sport scenes using color information

We propose a new method for segmenting image sequences in sports scenes containing brisk movement. An important feature of this method is the computation of color histograms in the areas for the turf, which is done interactively during rehearsal. Another important feature is automatic morphological...

Full description

Saved in:
Bibliographic Details
Published in:IEEE transactions on broadcasting 2000-09, Vol.46 (3), p.181-188
Main Authors: Naemura, M., Fukuda, A., Mizutani, Y., Izumi, Y., Tanaka, Y., Enami, K.
Format: Article
Language:English
Subjects:
Applied sciences
Broadcasting
Color
Data mining
Exact sciences and technology
Histograms
Image coding
Image processing
Image segmentation
Image sequences
Information, signal and communications theory
Labeling
Layout
Markers
MPEG 4 Standard
Segmentation
Signal processing
Telecommunications and information theory
Transformations
Watersheds
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:We propose a new method for segmenting image sequences in sports scenes containing brisk movement. An important feature of this method is the computation of color histograms in the areas for the turf, which is done interactively during rehearsal. Another important feature is automatic morphological segmentation during broadcast. The morphological segmentation consists of two operations: coarse segmentation by binary reconstruction based on the areas detected by thresholding the color histogram, and fine segmentation by watershed transformation with markers. It is shown that this new method achieves accurate segmentation in sport scenes.
ISSN:0018-9316
1557-9611
DOI:10.1109/11.892154