Earticle

초록

영어

Frame difference is a quick dissimilarity based segmentation approach for object detection, unfortunately, it gets trapped in over-segmented when the pixels of interest over time overlap each other. This paper presents a rather fast visual object detection approach capable of approximating the location of moving object under heavy background noise or big overlap caused by negative similarity. Specifically, frame forward-backward difference concept is proposed to extract object features in current frame through fusion of pixel-based current-previous and current-following frame difference. Based on this, we formulate object localization applying the statistics of horizontal-vertical projection of the fused difference. Therefore, our object detection can be regarded as a direct thresholding process which guarantees high efficiency while holds good accuracy performance. We evaluate our method on Weizmann human action dataset and some traffic videos for both single and multiple objects detection which demonstrates its applicability and prospect.

목차

Abstract
 1. Introduction
 2. Methodology
  2.1. Forward-backward Difference
  2.2. Projection of Forward-backward Difference
  2.3. Single Object Detection
 3. Experimental Results
 4. Conclusion
 References

키워드

저자

• Zhuo Bian [ School of Architecture, Harbin Institute of Technology, Harbin 150001, China, Art Academy of Northeast Agriculture University, Harbin 150001, China ]
• LiangliangWang [ State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin 150001, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Future Generation Communication and Networking

• 간기

  격월간

• pISSN

  2233-7857

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605