Moving cast shadow detection in video based on new chromatic criteria and statistical modeling

Hang Shi, Chengjun Liu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

A novel moving cast shadow detection method is presented in this paper to detect and remove the cast shadows from the foreground. First, the foreground is detected using the global foreground modeling (GFM) method. Second, the moving cast shadow is detected and removed from the foreground using a new moving cast shadow detection method that contains four hierarchical steps. In the first step, a set of new chromatic criteria is presented to detect the candidate shadow pixels in the HSV color space. In the second step, a new shadow region detection method is proposed to cluster the candidate shadow pixels into shadow regions. In the third step, a statistical shadow model, which uses a single Gaussian distribution to model the shadow class, is presented to classify shadow pixels. In the last step, an aggregated shadow detection method is presented for final shadow detection. Experiments using the public video data 'Highway-3' and the real traffic data from the New Jersey Department of Transportation (NJDOT) show the feasibility of the proposed method.

Original languageEnglish (US)
Title of host publicationProceedings - 18th IEEE International Conference on Machine Learning and Applications, ICMLA 2019
EditorsM. Arif Wani, Taghi M. Khoshgoftaar, Dingding Wang, Huanjing Wang, Naeem Seliya
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages196-201
Number of pages6
ISBN (Electronic)9781728145495
DOIs
StatePublished - Dec 2019
Event18th IEEE International Conference on Machine Learning and Applications, ICMLA 2019 - Boca Raton, United States
Duration: Dec 16 2019Dec 19 2019

Publication series

NameProceedings - 18th IEEE International Conference on Machine Learning and Applications, ICMLA 2019

Conference

Conference18th IEEE International Conference on Machine Learning and Applications, ICMLA 2019
CountryUnited States
CityBoca Raton
Period12/16/1912/19/19

All Science Journal Classification (ASJC) codes

  • Strategy and Management
  • Artificial Intelligence
  • Computer Science Applications
  • Decision Sciences (miscellaneous)
  • Signal Processing
  • Media Technology

Keywords

  • New chromatic criteria
  • Shadow detection
  • Shadow region detection
  • Statistical shadow modeling

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