Categorization of actions in soccer videos using a combination of transfer learning and Gated Recurrent Unit
Categorization of actions in soccer videos using a combination of transfer learning and Gated Recurrent Unit
Blog Article
Extraction of knowledge from soccer videos has enormous applications like context-based advertisement, content-based video hyfrodol retrieval, match summarization, and highlight extraction.Overlapping soccer actions and uncontrolled video capturing conditions make it challenging to detect action accurately.For overcoming these problems, Convolutional Neural Network and Recurrent Neural Network are used jointly to classify My Mom Dad Is Well Trained Funny Cartoon Dog Gift For Dog Lover Personalized Shirt different lengths of soccer actions.
Initially, transfer learning from pre-trained VGG network extracts characteristic spatial features.Afterwards, Gated Recurrent Unit deals with temporal dependency and solves the vanishing gradient problem.Finally, softmax layer assigns decimal probabilities to each class.
Experimental results demystify the significance of the proposed architecture.