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soccer video event detection based on deep learning

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Soccer Video Event Detection Based on Deep Learning ...

Event detection is an important aspect of soccer game research. In this paper, we propose a model that is able to detect events in long soccer games with a single pass through the video. Combined with replay detection, we generate story clips, which contain more complete temporal context, meeting audiences’ needs.

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Soccer Event Detection Using Deep Learning | DeepAI

Soccer Event Detection Using Deep Learning. 02/08/2021 ∙ by Ali Karimi, et al. ∙ University of Tehran ∙ 0 ∙ share. Event detection is an important step in extracting knowledge from the video. In this paper, we propose a deep learning approach to detect events in a soccer match emphasizing the distinction between images of red and yellow cards and the correct detection of the images of selected events from other images.

Automatic Soccer Video Event Detection Based on a Deep Neural ...

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.

[PDF] Soccer Event Detection Using Deep Learning | Semantic ...

Event detection is an important step in extracting knowledge from the video. In this paper, we propose a deep learning approach to detect events in a soccer match emphasizing the distinction between images of red and yellow cards and the correct detection of the images of selected events from other images.

Learning Deep C3D Features For Soccer Video Event Detection ...

By taking advantage from C3D (Convolution 3-dimensional), to completely exploit spatio-temporal relation, deep convolution network is developed to highlight distinct video events in proposed research work. Initially, we detect soccer video event marks by pixel differencing and edge change ratio. After this semantic features of segmented frames are extracted followed by CNN to map soccer event categories: Corner, Shoot, Goal Attempt, Penalty Kick.

Football Event Detection: A Deep Learning Success Story | by ...

Sorano et. al., has presented PassNet, based on deep learning models, to automate pass detection for video streams. In Football a pass is viewed as an event given by kicking of the ball by a ...

(PDF) Soccer Video Summarization Using Deep Learning

Event detection is an important step in extracting knowledge from the video. In this paper, we propose a deep learning approach to detect events in a soccer match emphasizing the distinction ...

(PDF) Event Detection Based Approach for Soccer Video ...

Event detection is an important step in extracting knowledge from the video. In this paper, we propose a deep learning approach to detect events in a soccer match emphasizing the distinction ...

Hockey activity recognition using pre-trained deep learning ...

Soccer video event detection using 3D convolutional networks and shot boundary detection via deep feature distance Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) , LNCS , vol. 10635 ( 2017 ) , pp. 440 - 449

Abnormal Event Detection in Videos Based on Deep Neural Networks

Abnormal event detection has attracted widespread attention due to its importance in video surveillance scenarios. The lack of abnormally labeled samples makes this problem more difficult to solve. A partially supervised learning method only using normal samples to train the detection model for video abnormal event detection and location is proposed. Assuming that the distribution of all ...

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