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FPGA implementation of real-time growcut based object segmentation for chroma-key effect
2015 International Conference on Computing, Management and Telecommunications, ComManTel 2015 Số , năm 2016 (Tập , trang 52-56)
DOI: 10.1109/ComManTel.2015.7394259
Tài liệu thuộc danh mục: Scopus
Conference Paper
English
Từ khóa: Clustering algorithms; Edge detection; Field programmable gate arrays (FPGA); Hardware; Image segmentation; Pixels; Storms; Chroma-key; FPGA implementations; Hardware architecture; K-means; K-means clustering method; Object segmentation; Real-time object segmentation; Real-time segmentation; Reconfigurable hardware
Tóm tắt tiếng anh
This paper presents FPGA implementation of realtime object segmentation which is applied for Chroma-key effect. In order to implement hardware architecture for real-time segmentation, we propose a method which has two stages consisting of seed selection and modified GrowCut. In the first stage, K-Means clustering method and edge detection are applied to specify automatically seed pixels of the object and the background. In the second stage, GrowCut algorithm which has been modified for real-time processing is applied to label the rest of pixels based the seed pixels. The hardware architecture of the proposed method is designed and implemented on Bitec Cyclone III development kit. The experimental result shows that our system can perform real-time object segmentation on HD videos. � 2015 IEEE.
