Earticle

초록

영어

In this paper, we present a novel object detection scheme using the multi-scale contour fragments. The template fragments are extracted by decomposing the template contour. The multi-scale hinge angle, contour direction and partial Hausdorff distance (PHD) are used to select candidates in the edge image. Then, the matches with different scales and directions are selected by the Multiclass Discriminative Field (MDF) from the candidates. With the matches and their corresponding sample fragments, the contours of the objects can be obtained. The experiments on our postmark dataset and the ETHZ dataset show that the proposed scheme is robust to detect a class of objects with different scales, directions and complex background.

목차

Abstract
 1. Introduction
 2. Multi-scale Fragment Match
 3. Experiments
 4. Conclusion
 References

키워드

저자

• Xiaofeng Zhang [ Dept. of Computer Science and Technology, East China Normal University, Shanghai, China, School of Computer Science and Technology, Nantong University, Nantong, China ]
• Qiaoyu Sun [ Dept. of Computer Science and Technology, East China Normal University, Shanghai, China ]
• Yue Lu [ Dept. of Computer Science and Technology, East China Normal University, Shanghai, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Multimedia and Ubiquitous Engineering

• 간기

  월간

• pISSN

  1975-0080

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605