Soccer
Game Broadcast Analysis
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This paper presents research
work on the detection, tracking, and
localization of the soccer ball in a broadcast
soccer video and maps the ball locations to the
global coordinate system of the soccer field.
Because of the lack of reference points in these
frames, the calculation of the global
coordinates of the ball remains a very
challenging task. This paper proposes to use an
object-based algorithm and Kalman filter to
detect and track the ball in such videos. Once
the ball is located, frames are registered to
static soccer field, and the absolute ball
location is found in the field. The existing
feature matching algorithms do not work well for
frame registration, especially when involving
lighting variations and large camera
pan-tile-zoom change. To overcome this
challenge, a new feature descriptor and matching
algorithm that is robust to these deformations
is developed and presented in this paper.
Experimental results show the proposed algorithm
is very effective and accurate.
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Graduate Students:
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Alok Desai and Craig Wilson
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Publications:
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A.
Desai, D.J. Lee, and C.N. Wilson, “Determine
Absolute Soccer Ball Location in Broadcast
Video Using SYBA Descriptor,"Lecture
Notes in Computer Science, International
Symposium on Visual Computing, p. 588-597, Las
Vegas, NV, USA, December 8-10 2014.
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