Study on approach of detection for video image based on decomposable Markov network

Jiannong Cao, Deren Li, Zequn Guan

Research output: Journal article publicationJournal articleAcademic researchpeer-review

3 Citations (Scopus)

Abstract

The concept and method of decomposable Markov network (DMN) are sdudied, and the role of DMN in data mining from sequence images is analyzed. The construct of DMN is straight utilized as the evidence of inference or decision for problem solution and enlargement of application possibility in DMN. For example of the factual video images with traffic rule violation, we deeply investigate several graininess (nodes) which are used in constructing DMN between video images, assess its applicability for our problem, and detect abnormality in them by analyzing construct of DMN for finding a interesting mode. It is showed that the method is feasible and effective according to the result of simulation. The researches indicate that the DMN may apropos reveal abstract adjacent relations existing in data, has capabilities of showing knowledge and logic reasoning, and also is important method of pattern recognition.
Original languageEnglish
Pages (from-to)312-318
Number of pages7
JournalGuangxue Xuebao/Acta Optica Sinica
Volume25
Issue number3
Publication statusPublished - 1 Mar 2005
Externally publishedYes

Keywords

  • Computer vision
  • Data mining
  • Decomposable Markov network
  • Image processing
  • Probability distance
  • Video images detection

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Atomic and Molecular Physics, and Optics

Cite this