Lightweight and robust shadow removal for foreground detection

Anuja Gawde, Kedar Joshi, Senem Velipasalar

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

3 Scopus citations

Abstract

Background subtraction is a commonly used method to detect moving objects from videos captured by static cameras. However, shadows and reflections significantly affect the output of background subtraction algorithms, and distort the shape of the objects obtained as a result. Thus, shadow detection and removal is a crucial post-processing step to perform accurate object tracking required by different applications. We present a lightweight method to detect and remove shadows as well as reflection effects in indoor and outdoor environments by using spatial and spectral features. This method incorporates an adaptive way to set thresholds to avoid preset numbers. We present a comparison of the outputs we obtained with those of several other methods. The experimental results demonstrate the success of the proposed algorithm.

Original languageEnglish (US)
Title of host publicationProceedings - 2012 IEEE 9th International Conference on Advanced Video and Signal-Based Surveillance, AVSS 2012
Pages264-269
Number of pages6
DOIs
StatePublished - Nov 6 2012
Event2012 IEEE 9th International Conference on Advanced Video and Signal-Based Surveillance, AVSS 2012 - Beijing, China
Duration: Sep 18 2012Sep 21 2012

Publication series

NameProceedings - 2012 IEEE 9th International Conference on Advanced Video and Signal-Based Surveillance, AVSS 2012

Other

Other2012 IEEE 9th International Conference on Advanced Video and Signal-Based Surveillance, AVSS 2012
CountryChina
CityBeijing
Period9/18/129/21/12

ASJC Scopus subject areas

  • Computer Networks and Communications

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    Gawde, A., Joshi, K., & Velipasalar, S. (2012). Lightweight and robust shadow removal for foreground detection. In Proceedings - 2012 IEEE 9th International Conference on Advanced Video and Signal-Based Surveillance, AVSS 2012 (pp. 264-269). [6328027] (Proceedings - 2012 IEEE 9th International Conference on Advanced Video and Signal-Based Surveillance, AVSS 2012). https://doi.org/10.1109/AVSS.2012.44