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A Review of Object Detection Methods in the Image

عنوان مقاله: A Review of Object Detection Methods in the Image
شناسه ملی مقاله: NCNIEE04_032
منتشر شده در چهارمین کنفرانس ملی ایده های نو در مهندسی برق در سال 1394
مشخصات نویسندگان مقاله:

Seyyed Mohammad Reza Hashemi - Faculty of Computer and Information Technology Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran
Ali Broumandnia - Faculty of Computer and Information Technology Engineering, South Tehran Branch, Islamic AzadUniversity, Tehran, Iran

خلاصه مقاله:
Object detection in images is a process whose goal is to determine the position of the objects in the image along with identifying them. Challenges, facing object detection, such as determination of the lighting, changing the perspective, image resizing, image extension, and rotating the original image, have led to miscellaneous methods. Geometrical methods deal with finding the primary lines, while the visual one aims at the way the pixels are connected. In each method, the discerning features among different image groups should be extracted. This paper reviews several object detection methods, including the intended-area identifying methods along with the area describing ones.

کلمات کلیدی:
image detection, geometrical features, feature extraction, object detection

صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/533646/