An effective multi-object detection approach - Details

Author：

Wu, Lifang (Wu, Lifang.) (Scholars：毋立芳) | Liu, Jian (Liu, Jian.) | Cheng, Zhaohui (Cheng, Zhaohui.) | Wang, Hong (Wang, Hong.) | Liu, Qi (Liu, Qi.)

Indexed by：

EI Scopus

Abstract：

In　snooker　sport,　there　are　most　22　balls　on　the　table,　which　have　different　colors.　In　television　relay,　we　usually　need　to　show　the　＇Snooker＇　(or　location　of　balls　on　table)　in　3D　view.　It　requires　accurate　location　of　balls.　In　this　paper,　we　propose　an　approach　to　locate　all　the　balls　automatically.　Our　approach　includes　training　stage　and　location　stage.　In　the　training　stage,　we　extract　the　joint　color　histogram　and　range　of　valid　area　for　different　color　balls.　Then　we　compute　average　color　vector　and　obtain　their　range　for　different　color　balls.　In　the　location　stage,　joint　color　histograms　are　used　to　get　candidate　ball　region.　Then　false　regions　are　excluded　by　area.　Finally　true　color　ball　is　confirmed　by　the　distance　of　average　color　vector　between　the　candidate　ball　and　trained　values.　Our　approach　is　tested　using　21000　balls　in　1000　training　images　and　20800　balls　in　1000　testing　images,　92.86%　balls　can　be　located　correctly　in　training　images　and　91.23%　balls　can　be　located　exactly　in　testing　images.　©　2010　IEEE.

Keyword：

Object detection Location Graphic methods Color

Author Community：

[ 1 ] [Wu, Lifang]School of Electronic Information and Control Engineering, Beijing University of Technology, 100124, China
[ 2 ] [Liu, Jian]School of Electronic Information and Control Engineering, Beijing University of Technology, 100124, China
[ 3 ] [Cheng, Zhaohui]School of Electronic Information and Control Engineering, Beijing University of Technology, 100124, China
[ 4 ] [Wang, Hong]School of Electronic Information and Control Engineering, Beijing University of Technology, 100124, China
[ 5 ] [Liu, Qi]School of Electronic Information and Control Engineering, Beijing University of Technology, 100124, China