Saliency analysis based on multi-scale wavelet decomposition

Xiaolong Ma, Xudong Xie, Kin Man Lam, Yi Zhang

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

1 Citation (Scopus)

Abstract

In this paper, an efficient saliency analysis method based on multi-scale wavelet analysis is proposed, which can be used for car detection in intelligent transportation applications. In our method, saliency regions are considered as abnormal parts in a normal background; the wavelet theory is then used to detect these abnormal parts. Compared with other wavelet-based methods, our method need not perform inverse wavelet transformation, which is time-consuming. Besides, the use of multi-scale wavelet analysis can eliminate the drawbacks of the traditional center-surround methods, which have difficulties in detecting salient regions far away from object boundaries. Furthermore, a saliency prior process is adopted in our method, which can enhance the saliency map. Experimental results show that our method can achieve excellent results in terms of receiver operating characteristic (ROC) curve, the area under the curve (AUC) score, and visual performance, as compared to other state-of-the-art methods.
Original languageEnglish
Title of host publication2013 16th International IEEE Conference on Intelligent Transportation Systems
Subtitle of host publicationIntelligent Transportation Systems for All Modes, ITSC 2013
Pages1977-1980
Number of pages4
DOIs
Publication statusPublished - 1 Dec 2013
Event2013 16th International IEEE Conference on Intelligent Transportation Systems: Intelligent Transportation Systems for All Modes, ITSC 2013 - The Hague, Netherlands
Duration: 6 Oct 20139 Oct 2013

Conference

Conference2013 16th International IEEE Conference on Intelligent Transportation Systems: Intelligent Transportation Systems for All Modes, ITSC 2013
CountryNetherlands
CityThe Hague
Period6/10/139/10/13

ASJC Scopus subject areas

  • Automotive Engineering
  • Mechanical Engineering
  • Computer Science Applications

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