سال انتشار: ۱۳۸۵

محل انتشار: دوازدهمین کنفرانس سالانه انجمن کامپیوتر ایران

تعداد صفحات: ۴

نویسنده(ها):

Mani Ranjbar – Department of Computer Engineering, Sharif University of Technology, Tehran, Iran
Shohreh Kasaei – Department of Computer Engineering, Sharif University of Technology, Tehran, Iran

چکیده:

In this paper, we have proposed an efficient moving cast shadow detecti on using texture features. Texture features are estimated using fractal dimension and is employed to discriminate between shadow region andmoving foreground region. Complexity and noise reduction is achieved using wavelet transform which has not been performed before in the literature. Block-wise calculation has accelerated the method. The proposed texture modeling method unlike most other approaches is able to cope with very dark shadows as well as light shadows