Integrating Region Growing and Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Automatic Detection and Tracking of Human Motion with a View-Based Representation
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part I
Tracking Multiple Humans in Complex Situations
IEEE Transactions on Pattern Analysis and Machine Intelligence
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 4 - Volume 04
View-Invariant Human Activity Recognition Based on Shape and Motion Features
ISMSE '04 Proceedings of the IEEE Sixth International Symposium on Multimedia Software Engineering
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Cricket is a unique sport and is played globally across 17 countries including England, Australia, India, Pakistan, Sri-Lanka, South-Africa, New-Zealand, Bangladesh, and West Indies. Cricket is the most popular sport in the world after soccer. Boundary situation in a cricket game occurs when a fielder (cricket player) is very close to the boundary line with the cricket ball or he touches the boundary line while chasing the ball. Detection of the boundary situation in a cricket game is highly time-consuming and very difficult. Conventional approaches using the video replays for detecting the boundary whenever the player touches the boundary line with the ball is very difficult, and gives inaccurate results in complex situations. Accuracy is extremely critical for the cricket game since one team may loose if an incorrect decision is made, and this will affect the overall score of the team. Also, this may affect the performance of the team, and the morale of the players. In this research, a computer vision-based system using a robust algorithm is proposed to resolve the boundary situation automatically in near real time.