The SoccER software suite includes also a complete event detection system entirely developed and tested on a synthetic dataset including 500 min of game, and more than 1 million events.
Event detection, for instance, in a soccer match can help obtaining the statistics of events of the match. Counting the number of free kicks, fouls, tackles, etc. in a soccer game can be done by a manpower.
The research community is interested in developing automatic systems for the detection of events in video. This is particularly important in the field of sports data analytics. This paper presents an approach for identifying major complex events in soccer videos, starting from object detection and spatial relations between objects.
Automatic Soccer Video Event Detection Based on a Deep Neural Network Combined CNN and RNN Abstract: Soccer video semantic analysis has attracted a lot of researchers in the last few years. Many methods of machine learning have been applied to this task and have achieved some positive results, but the neural network method has not yet been used to this task from now.
Video soccer event detection possesses its special characteristics, which is related to its spatial-temporal context. Challenging problem in soccer video event detection methods is the extraction of appropriate spatial and temporal features related to each soccer event.
Use gluoncv on soccerNet data for event detection. Contribute to guangyangai/soccer_event_detection development by creating an account on GitHub.
Soccer event detection: reference implementation sought. As an experiment, I'm implementing some ideas to detect soccer events, especially goals.
a novel hierarchical framework for soccer (football) video event sequence detection and classiﬁcation. Unlike most existing video classiﬁcation approaches, which focus on shot detection followed by shot-clustering for classiﬁcation, the proposed scheme perform a top-down video scene classiﬁcation which avoids shot clustering. This improves
In shots that goal event occurs the ball speed is often very high; this paper, a new role-based framework is proposed for goal event therefore, using the video obtained from conventional systems detection in which the semantic structure of soccer game is used.