تقرير
Crick-net: A Convolutional Neural Network based Classification Approach for Detecting Waist High No Balls in Cricket
| العنوان: | Crick-net: A Convolutional Neural Network based Classification Approach for Detecting Waist High No Balls in Cricket |
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| المؤلفون: | Harun-Ur-Rashid, Md., Khatun, Shekina, Trisha, Mehe Zabin, Neehal, Nafis, Hasan, Md. Zahid |
| سنة النشر: | 2018 |
| المجموعة: | Computer Science |
| مصطلحات موضوعية: | Computer Science - Computer Vision and Pattern Recognition |
| الوصف: | Cricket is undoubtedly one of the most popular games in this modern era. As human beings are prone to error, there remains a constant need for automated analysis and decision making of different events in this game. Simultaneously, with advent and advances in Artificial Intelligence and Computer Vision, application of these two in different domains has become an emerging trend. Applying several computer vision techniques in analyzing different Cricket events and automatically coming into decisions has become popular in recent days. In this paper, we have deployed a CNN based classification method with Inception V3 in order to automatically detect and differentiate waist high no balls with fair balls. Our approach achieves an overall average accuracy of 88% with a fairly low cross-entropy value. Comment: Working on a different trajectory with this dataset |
| نوع الوثيقة: | Working Paper |
| الوصول الحر: | http://arxiv.org/abs/1805.05974Test |
| رقم الانضمام: | edsarx.1805.05974 |
| قاعدة البيانات: | arXiv |
| الوصف غير متاح. |