Title
Players and ball detection in soccer videos based on color segmentation and shape analysis
Abstract
This paper proposes a scheme to detect and locate the players and the ball on the grass playfield in soccer videos. We put forward a shape analysis-based approach to identify the players and the ball from the roughly extracted foreground, which is obtained by a trained, color histogram-based playfield detector and connected component analysis. We employ Euclidean distance transform to extract skeletons for every foreground blob, and then perform shape analysis to remove false alarms (non-player and non-ball blobs) and cut-off the artifacts (mostly due to playfield lines) based on skeleton pruning and reverse Euclidean distance transform. Results are given to demonstrate the proposed algorithm works well in soccer video clips.
Year
DOI
Venue
2007
10.1007/978-3-540-73417-8_50
MCAM
Keywords
Field
DocType
shape analysis-based approach,euclidean distance,foreground blob,connected component analysis,soccer video clip,grass playfield,false alarm,shape analysis,color segmentation,playfield detector,soccer video,ball detection,connected component,distance transform,color histogram
Object detection,Computer vision,Color histogram,Pattern recognition,Skeleton pruning,Computer science,Segmentation,Distance transform,Artificial intelligence,Connected-component labeling,Detector,Shape analysis (digital geometry)
Conference
Volume
ISSN
Citations 
4577
0302-9743
15
PageRank 
References 
Authors
0.90
18
3
Name
Order
Citations
PageRank
Yu Huang1151.24
Joan Llach29910.01
Sitaram Bhagavathy31149.82