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Artificial Intelligence has become the new powerhouse of data analytics in this technological era. With advent of different Machine Learning and Computer Vision algorithms, applying them in data analytics has become a common trend. However, applying Deep Neural Networks in different sport data analyzing tasks and study the performance of these models is yet to be explored. Hence, in this paper, we have proposed a 13 layered Convolutional Neural Network referred as “Shot-Net” in order to classifying six categories of cricket shots, namely Cut Shot, Cover Drive, Straight Drive, Pull Shot, Scoop Shot and Leg Glance Shot. Our proposed model has achieved fairly high accuracy with low cross-entropy rate.
|Title of host publication||Recent Trends in Image Processing and Pattern Recognition - 2nd International Conference, RTIP2R 2018, Revised Selected Papers|
|Editors||Ravindra S. Hegadi, K. C. Santosh|
|Publisher||Springer-Verlag London Ltd.|
|Number of pages||10|
|Publication status||Published - 2019|
|Event||2nd International Conference on Recent Trends in Image Processing and Pattern Recognition, RTIP2R 2018 - Solapur, India|
Duration: 21 Dec 2018 → 22 Dec 2018
|Name||Communications in Computer and Information Science|
|Conference||2nd International Conference on Recent Trends in Image Processing and Pattern Recognition, RTIP2R 2018|
|Period||21/12/18 → 22/12/18|
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