Shadow Detection Based on Combinations of HSV Color Space and Orthogonal Transformation in Surveillance Videos
محل انتشار: دوازدهمین کنفرانس ملی سیستم های هوشمند ایران
سال انتشار: 1392
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 730
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شناسه ملی سند علمی:
ICS12_211
تاریخ نمایه سازی: 11 مرداد 1393
چکیده مقاله:
shadow removing is an important issue in performance of intelligent transportation system. In this paper, a synthetic shadow detection algorithm using combination oforthogonal transformation and HSV color space is proposed. In this algorithm, orthogonal transformation and HSV color space are applied to improve the performance of shadow detection. At first, the current and background images are transferred from RGB color space to HSV color space, thenusing combination of orthogonal transformation and shadow color feature in HSV color space, the shadow is detected in theimage blocks. Our proposed algorithm is evaluated on a real and operation videos. The obtained results by our algorithm demonstrate the efficiently and effectiveness of this algorithm in intelligent transportation system application
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نویسندگان
Mohammad Kazem Moghimi
Department of Electrical Engineering, Najafabad Branch, Islamic Azad University, Isfahan, Iran
Hossein Pourghassem
Department of Electrical Engineering, Najafabad Branch, Islamic Azad University, Isfahan, Iran