Shadow detection in digital images and videos

Csaba Benedek, Tamás Szirányi

Research output: Chapter in Book/Report/Conference proceedingChapter

1 Citation (Scopus)

Abstract

Shadow detection is an important preprocessing task and a hot topic in computer vision. There exist numerous applications which vary in their motivations to address shadows in acquired digital images and video. For example, in video surveillance [1], [2], aerial exploitation [3], and traffic monitoring [4] shadows are usually mentioned as harmful effects, because they make it difficult to separate and track moving objects via background subtraction (Figure 11.1). In remote sensing, shadows may reduce the performance of change detection techniques [5]. Similarly, in scene reconstruction it is a fundamental problem to distinguish surface edges from illumination differences [6]. It should also be noted that shadow-free images are commonly required for purely visual purposes [6].

Original languageEnglish
Title of host publicationComputational Photography
Subtitle of host publicationMethods and Applications
PublisherCRC Press
Pages283-312
Number of pages30
ISBN (Electronic)9781439817506
ISBN (Print)9781439817490
DOIs
Publication statusPublished - Jan 1 2017

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ASJC Scopus subject areas

  • Computer Science(all)
  • Engineering(all)

Cite this

Benedek, C., & Szirányi, T. (2017). Shadow detection in digital images and videos. In Computational Photography: Methods and Applications (pp. 283-312). CRC Press. https://doi.org/10.1201/b10284