Robotics and Computer Vision Lab

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Moving Object Segmentation Algorithm

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저 자 Kukjin Yoon, In So Kweon
학 회 1st International Workshop on Human-friendly Welfare Robotic Systems (HWRS)
논문일시(Year) 2000
논문일시(Month) 01
The edge and motion are the main features that human visual
system (HVS) perceives intensively. Therefore, it is very
important to obtain accurate boundary of moving object
coinciding with the boundary that HVS perceives for humanlike
vision system. This paper proposes an algorithm for the
segmentation of the moving object with accurate boundary
using color and motion focusing on the HVS perception in the
general image sequence. The proposed algorithm is composed
of three parts: color segmentation, motion analysis, and
region refinement and merging part. In the color
segmentation phase, K-Means algorithm is used in
consideration of the sensitivity of the human color perception
to get the accurate boundaries coinciding with the boundaries
that HVS perceives. The global and local motion estimation
are performed in parallel with color analysis. As the result of
color and motion analysis, boundary and motion information
of each region are obtained. After that, Bayesian clustering
using color and motion provides more accurate boundary for
each region although the color contrast between objects and
background is low. In the final stage, regions are merged
taking into account their motion. The experimental results of
the proposed algorithm show the accurate moving object
boundary coinciding with the boundary that HVS perceives.

List of Articles
66. 2-D object recognition using invariant contour descriptor and projective refinement
Kyoungsig Roh, In So Kweon
Pattern Recognition 1998 / 05
65. A hybrid pyramid-based motion estimation algorithm under illumination variations
Youngsu Moon, In So Kweon
12th Workshop on Image Processing and Image Understanding (IPIU) 2000 / 01
64. Real-time face tracking using adaptive color model
Gijeong Jang, In So Kweon
12th Workshop on Image Processing and Image Understanding (IPIU) 2000 / 01
63. Robust Feature Matching for Loop Closing and Localization
Jungho Kim, In So Kweon
IEEE/RSJ International Conference on Robots and Systems 2007 / 10
62. Feature Matching for Loop Closing
Jungho Kim, In So Kweon
The 13th International Conference on Advanced Robotics 2007 / 08
61. A new technique for shot detection and key frames selection in histogram space
Seunghoon Han, Kukjin Yoon, In So Kweon
12th Workshop on Image Processing and Image Understanding (IPIU) 2000 / 01
60. Map-based probabilistic reasoning to vehicle segmentation
Joonwoong Lee, In So Kweon
Pattern Recognition 1998 / 12
59. Moving object segmentation with accurate boundary using color and motion
Kukjin Yoon, In So Kweon
12th Workshop on Image Processing and Image Understanding (IPIU) 2000 / 01
58. Direct estimation of 3-D motion and scene depth from stereo image sequences
Seongkee Park, In So Kweon
12th Workshop on Image Processing and Image Understanding (IPIU) 2000 / 01
57. 가상 영상면을 이용한 영상기반 비주얼 서보잉
Howon Kim, Jaeseung Cho, In So Kweon
14th Korea Automatic Control Conference (KACC) 1999 / 10
56. 영상 특징의 위치와 각도를 이용한 새로운 비쥬얼 서보잉 방법
Jaeseung Cho, In So Kweon
14th Korea Automatic Control Conference 1999 / 10
55. 각도 정보를 이용한 가변 카메라하에서의 새로운 카메라 보정 알고리듬
Jongeun Ha, In So Kweon
14th Korea Automatic control Conference (KACC) 1999 / 10
54. Biprism에 의한 새로운 스테레오 카메라 시스템
Doohyun Lee, In So Kweon
10th Workshop on Image Processing and Image Understanding (IPIU) 1998 / 01
53. 직선추출 알고리즘의 실시간 구현
Hakseo Oh, Joonwoong Lee, In So Kweon
9th Workshop on Image Processing and Image Understanding (IPIU) 1997 / 01
52. 영상처리를 이용한 차량의 검지
Youngsu Moon, Sangchul Jung, In So Kweon, 이기원
제어계측연구회, 로보틱스 및 자동화연구회 합동학술발표회 1996 / 04
51. 노이즈가 존재하는 영상 시퀀스에서의 운동물체추적
Dongjoong Kang, In So Kweon
8th Workshop on Image Processing and Image Understanding (IPIU) 1996 / 01
50. A self-localization algorithm for a mobile robot using projective invariant
Kyoungsig Roh, Wangheon Lee, Sangsam Jung, In So Kweon
Proceeding of 11th Korea Automatic Control Conference (KACC) 1996 / 01
49. A Kalman filter based visual tracking algorithm using the first-order differential invariants
J. Lee, In So Kweon
로보틱스 및 자동화연구회웍크샵 1995 / 04
48. Shot detection combining Bayesian and structural information
Seunghoon Han, In So Kweon
SPIE : Storage and Retrieval for Media Database 2001 2001 / 01
» Moving Object Segmentation Algorithm
Kukjin Yoon, In So Kweon
1st International Workshop on Human-friendly Welfare Robotic Systems (HWRS) 2000 / 01
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