DocumentCode :
1874070
Title :
Cricket shot classification using motion vector
Author :
Karmaker, D. ; Chowdhury, A.Z.M.E. ; Miah, M.S.U. ; Imran, M.A. ; Rahman, M.H.
Author_Institution :
Dept. of Comput. Sci., American Int. Univ., Dhaka, Bangladesh
fYear :
2015
fDate :
21-23 April 2015
Firstpage :
125
Lastpage :
129
Abstract :
Cricket shots cannot be detected yet from single video sample without multiple view camera and other tools like sonar, speedometer. Extracting salient feature and optical flow from videos of cricket shots is still a challenge. In cricket, body parts movement created several different directional optical flows. So we propose motion estimation approach related to classifying the shots using 3D MACH for action recognition. Our methodology defines 8 classes of angle ranges to detect cricket shots. Our method is grounded on Motion vectors that help to measure the angle of any precise cricket shot. An adequate accuracy level for the shots is established for this particular approach.
Keywords :
feature extraction; image motion analysis; image sequences; sonar detection; sport; video signal processing; 3D MACH; action recognition; cricket shot classification; directional optical flows; motion vector; motion vectors; multiple view camera; salient feature extraction; sonar; speedometer; video sample; Accuracy; Computer vision; Image motion analysis; Optical filters; Optical imaging; Three-dimensional displays; Tracking; 3D MACH; Cricket; Hawk-Eye; Human pose; KLT; Kalman-Filter; LoG; Lucas-Kanade; MotionVector; Optical flow; SIFT; Salient; spatiotemporal volume;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computing Technology and Information Management (ICCTIM), 2015 Second International Conference on
Conference_Location :
Johor
Print_ISBN :
978-1-4799-6210-5
Type :
conf
DOI :
10.1109/ICCTIM.2015.7224605
Filename :
7224605
Link To Document :
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