Earticle

초록

영어

Moving object detection in a video sequence is one of the most challenging research topics due to its various applications and complexity. Sometimes, it is also required to identify a moving object without any previous information about its shape or motion. In this paper, we introduce a global mesh generation technique which can construct a hierarchical mesh on moving object(s) inside a video frame. This technique is efficient enough to solve the problem to a great extent and can identify a moving object in a video frame without any previous knowledge. The generated mesh is triangular and probabilistic in nature. The granularity of the mesh depends upon the level of hierarchy, neighborhood triangle decomposition, gradient and temporal information of the video sequence. Experiments show that the proposed method can identify the moving object(s) with good accuracy without any pre or post-processing steps.

목차

Abstract
 I. INTRODUCTION
 II. PROPOSED WORK
  A. Short description of the defined features
  B. Combined expression for probability
  C. Fine tuning of parameters α, β and γ
  D. Overall description of the algorithm
 III. EXPERIMENTAL RESULTS
  A. Results on other different video sequences
  B. Performance comparison
 IV. CONCLUSIONS
 REFERENCES

키워드

저자

• Kalyan Goswami [ Department of Computer Engineering SunMoon University Asan City, Rep. of Korea ]
• Gwang-Soo Hong [ Department of Computer Engineering SunMoon University Asan City, Rep. of Korea ]
• Byung-Gyu Kim [ Department of Computer Engineering SunMoon University Asan City, Rep. of Korea ] Corresponding author

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  JoC [Journal of Convergence]

• 간기

  계간

• pISSN

  2093-7741

• eISSN

  2093-775X

• 수록기간

  2010~2015

• 십진분류

  KDC 004 DDC 004