Paper Info
Title
A vision based game control method
Abstract
The appeal of computer games may be enhanced by vision-based user inputs. The high speed and low cost requirements for near-term, mass-market game applications make system design challenging. In this paper we propose a vision based 3D racing car game controlling method, which analyzes two fists positions of the player in video stream from the camera to get the direction commands of the racing car. This paper especially focuses on the robust and real-time Bayesian network (BN) based multi-cue fusion fist tracking method. Firstly, a new strategy, which employs the latest work in face recognition, is used to create accurate color model of the fist automatically. Secondly, color cue and motion cue are used to generate the possible position of the fist. Then, the posterior probability of each possible position is evaluated by BN, which fuses color cue and appearance cue. Finally, the fist position is approximated by the hypothesis that maximizes a posterior. Based on the proposed control system, a racing car game, “Simulation Drive”, has been developed by our group. Through the game an entirely new experience can be obtained by the player.
Year
DOI
Venue
2005
10.1007/11573425_7
ICCV-HCI
Keywords
Field
DocType
computer game,car game,color cue,fist position,appearance cue,possible position,game control method,mass-market game application,racing car game,accurate color model,motion cue,system design,posterior probability,bayesian network,color model,face recognition,control system,real time
Facial recognition system,Computer vision,Computer science,Systems design,Posterior probability,Bayesian network,Artificial intelligence,Control system,Fuse (electrical),Fist,User interface
Conference
Volume
ISSN
ISBN
3766
0302-9743
3-540-29620-4
Citations 
PageRank 
References 
4
0.49
6
Authors
4
Name
Order
Citations
PageRank
Peng Lu112617.62
Yufeng Chen23816.55
Xiangyong Zeng360666.63
Yangsheng Wang475066.25