Real-Time Detection and Recognition of Cards in the Game of Set

被引：0

作者：

Ditrih, Hrvoje ^{[1
]}

Grgic, Sonja ^{[1
]}

Turkovic, Leona ^{[2
]}

机构：

[1] Univ Zagreb, Fac Elect Engn & Comp, Unska 3, Zagreb 10000, Croatia

[2] Univ Zagreb, Fac Croatian Studies, Borongajska Cesta 83d, Zagreb 10000, Croatia

来源：

PROCEEDINGS OF 63RD INTERNATIONAL SYMPOSIUM ELMAR-2021 | 2021年

关键词：

Computer Vision; Object Detection; Card Game Set; Card Segmenatation; Card Detection; Card Recognition; Neural Network; Card Classification;

D O I：

10.1109/ELMAR52657.2021.9550996

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper aims to present a procedure for real-time detection and recognition of the cards from the card game Set using computer vision techniques. Our approach to recognizing cards in images is done in three steps: segmenting cards from the image, extracting features from card images with horizontal and vertical lines, and card feature classification with support vector machine (SVM). Small number of features are extracted from relatively small subset of pixels to achieve real-time processing.

引用

页码：161 / 164

页数：4

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