DCT와 Guided 필터를 이용한 실시간 영상 분류

Abstract

In this paper, we present a novel segmentation method that can extract new foreground objects from a current frame in real-time. It is performed by detecting differences between the current frame and reference frame taken from a fixed camera. We minimize computing complexity for real-time video processing. First DCT (Discrete Cosine Transform) is utilized to generate rough binary segmentation maps where foreground and background regions are separated. DCT shows better result of texture analysis than previous methods where texture analysis is performed in spatial domain. It is because texture analysis in frequency domain is easier than that in special domain and intensity and texture in DCT are taken into account at the same time. We maximize run-time efficiency of DCT by considering color information to analyze object region prior to DCT process. Last we use Guided filter for natural matting of the generated binary segmentation map. In general, Guided filter can enhance quality of intermediate result by incorporating guidance information. However, it shows some limitations in homogeneous area. Therefore, we present an additional method which can overcome them. Keyword : DCT, matting, segmentation, Guided Filter a) 경희대학교 전자정보대학 (Kyung Hee University) b) kt 융합기술원 (kt fusion technology institute) ‡Corresponding Author : 김원하(Wonha Kim) E-mail: hjk1017@ssu.ac.kr Tel: +82-2-826-9063 ※ 본 연구는 산업통상지원부의 재원으로 산업핵심기술개발사업의 지원을 받아 수행 되었습니다.(10052967, 재난재해 대응용 특수목적기계 통합제어시스 템 개발) ・Manuscript received August 17, 2015; revised September 22, 2015; accepted September 22, 2015. 특집논문 (Special Paper) 방송공학회논문지 제20권 제5호, 2015년 9월 (JBE Vol. 20, No. 5, September 2015) http://dx.doi.org/10.5909/JBE.2015.20.5.718 ISSN 2287-9137 (Online) ISSN 1226-7953 (Print) 신현학 외 2인 : DCT와 Guided 필터를 이용한 실시간 영상 분류 719 (Hyunhak Shin et al.: Video Segmentation Using DCT and Guided Filter in real time)