Bayesian belief based tactic analysis of attack events in broadcast soccer video

Alipour, Sara; Oskouie, Payam; Moghadam, Amir Masoud Eftekhari

doi:10.1109/iciev.2012.6317514

Cited by 4 publications

(2 citation statements)

References 18 publications

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“…Researchers have also attempted dynamic Bayesian network (DBN) which is based on the Bayesian network (BN) and its extension [25]. Learning through DBN has been applied to many real applications [26,27].…”

Section: Introductionmentioning

confidence: 99%

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A novel framework for semantic analysis of an illumination-variant soccer video

Pandya

Zaveri

2014

J Image Video Proc

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This paper presents an effective, novel and robust framework for semantic analysis of a soccer video possessing varying illumination conditions. The proposed algorithm works in two phases. The proposed framework effectively detects and gathers important events in the first phase, and a later phase carries out the task of event classification. The proposed system aims to identify high-level semantics of a soccer video like card event, goal event, goal attack and other classes of events. The proposed framework effectively exploits optical flow and colour features to detect and classify the events. The use of event filtration and categorization features successfully makes the system effective over various conditions. Simulations have been performed on a large number of video datasets of different conditions of various soccer leagues. Simulation results reflect the efficiency and robustness of the proposed framework.

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Section: Introductionmentioning

confidence: 99%

“…In [27], the Bayesian belief network has been used for the analysis of goal attack events of soccer videos. In the last recent years, machine learning-based approaches have dragged attention.…”

Section: Introductionmentioning

confidence: 99%