DocumentCode
3696106
Title
Automated highlight generation from cricket broadcasts using ORB
Author
Daniel Ringis;Akash Pooransingh
Author_Institution
Department of Electrical and Computer Engineering, The University of the West Indies, St. Augustine, Trinidad and Tobago
fYear
2015
Firstpage
58
Lastpage
63
Abstract
This paper investigates the use of the Oriented Fast, Rotated Brief (ORB) method to automatically detect the most significant broadcast view associated with cricket broadcasts: the Bowler Run-up Sequence (BRS) for cricket highlight generation. This method is computationally less expensive than other methods proposed for BRS detection. It is shown here that only a single frame is required for training to produce acceptable results as compared to other BRS detection methods. The ORB method produced a BRS detection rate of 98.26% and false detection rate of 5.70% and average matching time of 0.059 seconds. The fast training and matching makes this ideal for real time generation of highlight sand the detection is robust to sequences with high camera motion.
Keywords
"Training","Feature extraction","Cameras","Robustness","Motion estimation","Real-time systems","Support vector machines"
Publisher
ieee
Conference_Titel
Communications, Computers and Signal Processing (PACRIM), 2015 IEEE Pacific Rim Conference on
Electronic_ISBN
2154-5952
Type
conf
DOI
10.1109/PACRIM.2015.7334809
Filename
7334809
Link To Document