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Zeitschriftenartikel:

A. Gabdulkhakova, W. Kropatsch:
"Video analysis of a snooker footage based on a kinematic model";
Structural, Syntactic, and Statistical Pattern Recognition (eingeladen), 8621 (2014), S. 223 - 232.



Kurzfassung englisch:
Taking an inspiration from psychological studies of vi-
sual attention, the contribution of this paper lies in prediction of the
critical points of the trajectory using the structure of a scene and physical
motion model. On one side, we present our approach for video analysis
that di ers from traditional tracking techniques by predicting future
states of the moving object rather than its next consecutive position using
the physically-based motion functionality. On the other side, we propose
to use the structure of the scene, which contains the information about
the obstacles and space limits, for discovering the critical points of the
trajectory. As a proof of concept we developed the use case application
for analysing snooker footage.

Schlagworte:
video analysis, tracking, snooker, visual attention, spatio-temporal prediction


"Offizielle" elektronische Version der Publikation (entsprechend ihrem Digital Object Identifier - DOI)
http://dx.doi.org/10.1007/978-3-662-44415-3_23


Erstellt aus der Publikationsdatenbank der Technischen Universitšt Wien.