Earticle

초록

영어

Increasingly large amounts of surveillance video data have resulted in the critical need for indexing and retrieval from video databases. This paper addresses the problem of objects representation for surveillance video retrieval system. We extract dominant color histogram and edge direction histogram as the object’s appearance model in which the improved histogram intersection algorithm is used to measure the similarity between two dominant color histograms. Furthermore, an agglomerative hierarchical based clustering method is proposed to select the most relevant and representative blobs for compact and effective object representation. Experimental results on real surveillance video sequences have proved the performance of our proposed approach.

목차

Abstract
 1. Introduction
 2. Appearance Model
  2.1. Dominant Color Histogram and its Similarity Measurement
  2.2. Edge Direction Histogram and its Similarity Measurement
 3. Representative Blobs
 4. Experimental Results
 5. Conclusion
 References

키워드

저자

• Jianping Han [ College of Computer, Hangzhou Dianzi University, Hangzhou, China, 310018 ]
• Tian Tan [ College of Computer, Hangzhou Dianzi University, Hangzhou, China, 310018 ]
• Longfei Chen [ College of Computer, Hangzhou Dianzi University, Hangzhou, China, 310018 ]
• Daxing Zhang [ College of Computer, Hangzhou Dianzi University, Hangzhou, China, 310018 ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Security and Its Applications

• 간기

  격월간

• pISSN

  1738-9976

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605