TY - GEN
T1 - Position estimation of solid balls from handy camera for pool supporting system
AU - Uchiyama, Hideaki
AU - Saito, Hideo
PY - 2006
Y1 - 2006
N2 - This paper presents a method for estimating positions of solid balls from images which are captured using a handy camera moving around the pool table. Since the camera moves around by hand in this method, the motion of the camera in 3D space should be estimated. For the camera motion estimation, a homography is calculated by extracting the green felt region of the table-top area that is approximated to a polygon. Then, the balls are extracted from the table-top region for obtaining the positions of the balls. The 3D position of each ball is estimated using a projection matrix determined by the homography. The ball areas are classified by distribution of RGB data in each area. We apply our method to image sequences taken with a handy camera for evaluating the accuracy of the ball position estimation. By this experiment, we confirm that the accuracy of the estimated position is up to 18mm error, which is sufficiently small for displaying the strategy information in the pool supporting system.
AB - This paper presents a method for estimating positions of solid balls from images which are captured using a handy camera moving around the pool table. Since the camera moves around by hand in this method, the motion of the camera in 3D space should be estimated. For the camera motion estimation, a homography is calculated by extracting the green felt region of the table-top area that is approximated to a polygon. Then, the balls are extracted from the table-top region for obtaining the positions of the balls. The 3D position of each ball is estimated using a projection matrix determined by the homography. The ball areas are classified by distribution of RGB data in each area. We apply our method to image sequences taken with a handy camera for evaluating the accuracy of the ball position estimation. By this experiment, we confirm that the accuracy of the estimated position is up to 18mm error, which is sufficiently small for displaying the strategy information in the pool supporting system.
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U2 - 10.1007/11949534_39
DO - 10.1007/11949534_39
M3 - Conference contribution
AN - SCOPUS:48349124459
SN - 354068297X
SN - 9783540682974
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 393
EP - 402
BT - Advances in Image and Video Technology - First Pacific Rim Symposium, PSIVT 2006, Proceedings
PB - Springer Verlag
T2 - 1st Pacific Rim Symposium on Image and Video Technology, PSIVT 2006
Y2 - 10 December 2006 through 13 December 2006
ER -