Real-time object segmentation based on GPU

被引:4
|
作者
Lee, Sun-Ju [1 ]
Jeong, Chang-Sung [1 ]
机构
[1] Korea Univ, Sch Elect & Comp Engn, Sungbuk Ku, 1-5Ka,Anam Dong, Seoul, South Korea
关键词
D O I
10.1109/ICCIAS.2006.294232
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this paper we present a new novel GPU-based algorithm for real time object segmentation by employing several techniques which make use of firamebuffer, Swizzle operator stencil buffer and the other factors on GPU. Frame buffer is used for the fast processing of image on GPU without going back and forth to the CPU, swizzle operator for the efficient and fast execution of vector operations for object segmentation, and stencil buffer for the fast computation of the masked area for the detected object, thus speeding up the whole algorithm sharply. Moreover, the computation of the histograms and bounding boxes make our algorithm very simple and fast by using 'gather' operation uniquely supported by GPU. Our experimental results have shown that our algorithm is much faster than CPU based one.
引用
收藏
页码:739 / 742
页数:4
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