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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.

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List of Articles
59. Stereo Matching with the Distinctive Similarity Measure
Kukjin Yoon, In So Kweon
IEEE International Conference on Computer Vision (ICCV) 2007 / 10
58. Motion Estimation using Centers of Non-Overlapping Cameras
Hyeongwoo Kim, Jun-sik Kim, In So Kweon
Proceedings of the 13th Japan-Korea Joint Workshop on Frontiers of Computer Vision (FCV) 2007 / 01
57. Visual Categorization Robust to Large Intra-Class Variations using Entropy-guided Codebook
Sungho Kim, In So Kweon
Proceedings of the IEEE International Conference on Robotics and Automation (ICRA) 2007 / 04
56. Sensor noise modeling using the Skellam distribution: Application to the color edge detection
Youngbae Hwang, Jun-sik Kim, In So Kweon
IEEE International Conference on Computer Vision and Pattern Recognition (CVPR) 2007 / 06
55. Accurate Motion Estimation and High-Precision 3D Reconstruction by Sensor Fusion
Yunsu Bok, Youngbae Hwang, In So Kweon
Proceedings of the IEEE International Conference on Robotics and Automation (ICRA) 2007 / 04
54. CALOS : Camera And Laser for Odometry Sensing
Yunsu Bok, Youngbae Hwang, In So Kweon
Proceedings of the 13th Japan-Korea Joint Workshop on Frontiers of Computer Vision (FCV) 2007 / 01
53. Object Categorization Robust to Surface Markings using Entropy-guided Codebook
Sungho Kim, In So Kweon
IEEE Workshop on Applications of Computer Vision (WACV) 2007 / 02
52. Determination of Color Space for Accurate Change Detection
Youngbae Hwang, Jun-sik Kim, In So Kweon
IEEE International Conference on Image Processing (ICIP) 2006 / 10
51. Semi-metric Space: A New Approach to Treat Orthogonality and Parallelism
Jun-sik Kim, In So Kweon
Asian Conference on Computer Vision (ACCV) 2006 / 01
50. Synergistic Place and Object Recognition using Bidirectional Context Information
Sungho Kim, In So Kweon
British Machine Vision Conference (BMVC) 2006 / 09
49. Fast Separation of Reflection Components Using a Specularity-Invariant Image Representation
Kukjin Yoon, Yoojin Choi, In So Kweon
IEEE International Conference on Image Processing (ICIP) 2006 / 10
48. Estimating Intrinsic Parameters of Cameras using Two Arbitrary Rectangles
Jun-sik Kim, In So Kweon
International Conference on Pattern Recognition (ICPR) 2006 / 08
47. Multi-Modal Sequential Monte Carlo for On-Line Hierarchical Graph Structure Estimation in Model-based Scene Interpretation
Sungho Kim, In So Kweon
International Conference on Pattern Recognition (ICPR) 2006 / 08
46. Automatic Extraction of Parallel Lines in Catadioptric Images
Jean-Charles Bazin, In So Kweon
Proc. of 13th IEEE International Conference on Advanced Robotics (IEEE ICAR'07) 2007 / 08
45. Simultaneous Classification and Visual Word Selection using Entropy-based Minimum Description Length
Sungho Kim, In So Kweon
International Conference on Pattern Recognition (ICPR) 2006 / 08
44. Fast Central Catadioptric Line Extraction
Jean-Charles Bazin, Cedric Demonceaux, Pascal Vasseur
Proc. of 3rd Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA’07) 2007 / 06
43. Background Robust Object Labeling by Voting of Weight-Aggregated Local Features
Sungho Kim, Kukjin Yoon, In So Kweon
International Conference on Pattern Recognition (ICPR) 2006 / 08
42. Object Recognition using Generalized Robust Invariant Feature and Gestalt Law of Proximity and Similarity
Sungho Kim, Kukjin Yoon, In So Kweon
5th IEEE Workshop on Perceptual Organization in Computer Vision (CVPRW) 2006 / 06
41. Efficient Feature Tracking for Visual SLAM by Pairwise Constraints
Jungho Kim, Hyeongwoo Kim, In So Kweon
The 4th International Conference on Ubiquitous Robots and Ambient Intelligence(URAI) 2007 / 11
40. COP: A new method for extracting edges and corners
Suncheol Bae, In So Kweon, ChoongDon Yoo
Lecture Notes in Computer Science (LNCS) 2006 / 01
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