کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4960482 1446499 2017 7 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Unsupervised Hand Detection in Class Room Using Combination of Skin Detection and Hough Transform
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر علوم کامپیوتر (عمومی)
پیش نمایش صفحه اول مقاله
Unsupervised Hand Detection in Class Room Using Combination of Skin Detection and Hough Transform
چکیده انگلیسی

A large number of dataset can take a lot of effort in order to annotate the object that we observe, in this work is hand object. Therefore, we introduce an image processing method in order to perform unsupervised hand detection. The algorithm does not require any annotation data in order to do hand detection. Image processing step starts from skin detection in order to differentiate skin and non-skin region respectively. Subsequently, the border elimination was performed by specifying coordinates of each categories in dataset. Hand detection was performed by applying canny edge detector combined with hough transform in order to the hand coordinate. The proposed pipeline is validated by three categories of dataset. The result allows good accuracy rates of up to 97,677%.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Procedia Computer Science - Volume 116, 2017, Pages 516-522
نویسندگان
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