مقاله Robust Pedestrian Detection Using Low Level and High Level Features با word
مقاله Robust Pedestrian Detection Using Low Level and High Level Features با word دارای 6 صفحه می باشد و دارای تنظیمات در microsoft word می باشد و آماده پرینت یا چاپ است
فایل ورد مقاله Robust Pedestrian Detection Using Low Level and High Level Features با word کاملا فرمت بندی و تنظیم شده در استاندارد دانشگاه و مراکز دولتی می باشد.
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توجه : در صورت مشاهده بهم ریختگی احتمالی در متون زیر ،دلیل ان کپی کردن این مطالب از داخل فایل ورد می باشد و در فایل اصلی مقاله Robust Pedestrian Detection Using Low Level and High Level Features با word،به هیچ وجه بهم ریختگی وجود ندارد
بخشی از متن مقاله Robust Pedestrian Detection Using Low Level and High Level Features با word :
سال انتشار: 1392
محل انتشار: بیست و یکمین کنفرانس مهندسی برق ایران
تعداد صفحات: 6
چکیده:
In this paper, we introduce pedestrian detection using combination of low level features like CNN, HOG and Haar with high level features. Two kinds of high level features were used in this paper. One is related to the probability of existence of human’s face, which obtained from combination of skin colorand possible location and area for the human’s face. The other is related to the probability of existence of human’s anti-bodywhich obtained by curvature checking of vertical edges, situation of them relative to each other and location of them in the detection window. Several different structures were studied and their results were compared on a diagram. Also the average execution times of them were gathered in a table. Atfirst, we show that appending the high level features to every low level feature improves the performance of detection very much and then, with proper arrangement of several features, it is possible to improve the performance of detection further without increasing the execution time. For evaluation of the proposed algorithm, INRIA database and a video sequence were used.
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