Robotics and Computer Vision Lab

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International Journal
2009.09.16 19:21

Map-based probabilistic reasoning to vehicle segmentation

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저 자 Joonwoong Lee, In So Kweon
학 회 Pattern Recognition
논문일시(Year) 1998
논문일시(Month) 12
Vol. 31, No. 12, pp. 2017-2026

This paper proposes a segmentation algorithm by means of a probabilistic reasoning to segment moving vehicles in front of a moving vehicle in a road traffic scene. According to the perceptually known facts of a target, we extract image primitives and update a probabilistic expectation for the target to be in an image. Since a noise image produces unreliable features and degrades the detection and localization, selecting the image primitives, which are less sensitive to noise and represent the facts well, is important. The probabilistic reasoning overcomes this problem based on MAP (maximum a posteriori) probability that combines the prior and likelihood probabilities of image features using Bayes' rule.

List of Articles
17. A novel stereo camera system by a biprism
Doohyun Lee, In So Kweon
IEEE Transactions on Robotics and Automation 2000 / 10
16. Self-localization of a mobile robot without camera calibration using projective invariants
Wangheon Lee, In So Kweon
Pattern Recognition Letters 2000 / 01
15. A new calibration algorithm using known angles
Jongeun Ha, In So Kweon
Electronics Letters 2000 / 01
14. A Fast and stable snake algorithm for medical images
Dongjoong Kang, In So Kweon
Pattern Recognition Letters 1999 / 05
13. A fast and stable method for detecting and tracking medical organs in MRI sequences
Dongjoong Kang, Changyeong Kim, Seo Yang-Seok, In So Kweon
IEICE Transactions on Information and Systems 1999 / 02
12. Perceived Illumination Measured
Changyeong Kim, S. Petrov, Seo Yang-Seok, In So Kweon
Color Research and Application 1998 / 01
11. 2-D object recognition using invariant contour descriptor and projective refinement
Kyoungsig Roh, In So Kweon
Pattern Recognition 1998 / 05
» Map-based probabilistic reasoning to vehicle segmentation
Joonwoong Lee, In So Kweon
Pattern Recognition 1998 / 12
9. 2-D curved shape recognition using a local curve descriptor and projective refinement
Kyoungsig Roh, In So Kweon
IEICE Transactions on Information and Systems 1998 / 05
8. Illuminant direction and shape of a bump
Changyeong Kim, A.P.Petrov, Choh Heui-Keun, Seo Yang-Seock, In So Kweon
Journal of the Optical Society of America - A - Optics Image Science and Vision 1998 / 01
7. Extraction of line features in a noisy image
Joonwoong Lee, In So Kweon
Pattern Recognition 1997 / 06
6. Color and printer models for color halftoning
Changyeong Kim, In So Kweon
Journal of Electronic Imaging 1997 / 04
5. Image Point Matching by Triangulation
Joonwoong Lee, In So Kweon
Intelligent Automation and Soft Computing 1997 / 01
4. Group-based multi agent system configuration for mobile robot navigation
M. Watanabe, K. Onoguchi, Y. Kuno, In So Kweon
Japan Journal of Robot 1995 / 04
3. Extracting topographic terrain features from elevation maps
In So Kweon, T. Kanade
Computer Vision, Graphics and Image Understanding 1994 / 03
2. Sonar-based behaviors for behavior-based mobile robots
In So Kweon, K. Onoguchi, M. Watanabe
IEICE Transactions on Information and Systems 1993 / 04
1. High resolution terrain map from multiple sensor data
In So Kweon, T. Kanade
Special Issue on 3-D Vision of IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI) 1992 / 02
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