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Register a new userReal Time Vehicle Detection in Images using HOG Features and SVM
كشف عربة ضمن صور بالزمن الحقيقي باستخدام سمات المخطط النسيجي للتدرّج الموجه HOG و آلة شعاع الدعم
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Aِl-Baath University ورقة بحثية
Publication date
2018
fields
Communication Engineering
and research's language is
العربية
Created by
Shamra Editor
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استخدمت منهجية التعرف باستخدام موصف مخطط التوزع التكراري للتدرج الموجه HOG لبناء مصنف آلة شعاع الدعم SVM و طبقت هذه الطريقة اعتمادا على لغة البرمجة C++ و المكتبات OpenCV و Dlib.
The Histogram of Oriented Gradient (HOG) was used to construct the Support Vector Machine (SVM) workbook. This method was applied using C++ programming language and OpenCV and Dlib Libraries.
References used
Ondrej Miksik and Krystian Mikolajczyk, "Evaluation of local detectors and descriptors for fast feature matching," in Pattern Recognition (ICPR), 21st International Conference on, 2012, pp. 2681-2684
Hua Ji, Yuanhao Wu, Hong-Hai Sun, and Yan-jie Wang, "SIFT feature matching algorithm with global information," Optics and Precision Engineering, vol. 17, no. 2, pp. 439-444, 2009
Patricio Loncomilla, Javier Ruiz del Solar, and Luz MartÃnez, "Object recognition using local invariant features for robotic applications: A survey," Pattern Recognition, vol. 60, no. Supplement C, pp. 499-514, 2016
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التحكم بالازدحام
Congestion Control
تطبيقات الزمن غير الحقيقي
قواعد الرتل
خوارزمية البداية البطيئة
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المزيد..
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