Contour-based Object Detection UsingMax-Margin Hough Transform
عنوان مقاله: Contour-based Object Detection UsingMax-Margin Hough Transform
شناسه ملی مقاله: ICMVIP07_081
منتشر شده در هفتمین کنفرانس ماشین بینایی و پردازش تصویر ایران در سال 1390
شناسه ملی مقاله: ICMVIP07_081
منتشر شده در هفتمین کنفرانس ماشین بینایی و پردازش تصویر ایران در سال 1390
مشخصات نویسندگان مقاله:
Maedeh Ahmadi - Artificial Intelligence Laboratory, Dept. of Electrical and Computer Engineering
Maziar Palhang - Artificial Intelligence Laboratory, Dept. of Electrical and Computer Engineering
Niloofar Gheissari - Dept. of Electrical and Computer EngineeringIsfahan University of TechnologyIsfahan, Iran
خلاصه مقاله:
Maedeh Ahmadi - Artificial Intelligence Laboratory, Dept. of Electrical and Computer Engineering
Maziar Palhang - Artificial Intelligence Laboratory, Dept. of Electrical and Computer Engineering
Niloofar Gheissari - Dept. of Electrical and Computer EngineeringIsfahan University of TechnologyIsfahan, Iran
In this paper, a contour-based object detectionmethod based on Max-Margin Hough transform is proposed. Welearn Implicit Shape Model using local contour features namelyPair of Adjacent Segments (PAS) features. A Max-Margin Houghtransform (M2HT) [1] is then applied, where local parts generateweighted votes for possible object locations. Weights are learnt sothat higher weights are assigned to parts which repeatedlyappear in consistent locations. The achieved results on TUD cowsreference dataset show that discriminative learning of weightsimproves the contour-based Hough detector.
کلمات کلیدی: Contour-based object detection; Max-Margin HoughTransfor; pair of adjacent segments
صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/159115/