earticle

논문검색

A Novel Mesh-Based Moving Object Detection Technique in Video Sequence

원문정보

Kalyan Goswami, Gwang-Soo Hong, Byung-Gyu Kim

피인용수 : 0(자료제공 : 네이버학술정보)

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

저자정보

  • 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

참고문헌

자료제공 : 네이버학술정보

    함께 이용한 논문

      ※ 원문제공기관과의 협약기간이 종료되어 열람이 제한될 수 있습니다.

      0개의 논문이 장바구니에 담겼습니다.