Moving shadow detection with low- And mid-level reasoning

Ajay J. Joshi, Stefan Atev, Osama Masoud, Nikolaos P Papanikolopoulos

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

37 Scopus citations

Abstract

In this paper, we propose a multi-level shadow identification scheme which is generally applicable without restrictions on the number of light sources, illumination conditions, surface orientations, and object sizes. In the first level, we use a background segmentation technique to identify foreground regions which include moving shadows. In the second step, pixel-based decisions are made by comparing the current frame with the background model to distinguish between shadows and actual foreground. In the third step, this result is improved using blob-level reasoning which works on geometric constraints of identified shadow and foreground blobs. Results on various indoor and outdoor sequences under different illumination conditions show the success of the proposed approach.

Original languageEnglish (US)
Title of host publication2007 IEEE International Conference on Robotics and Automation, ICRA'07
Pages4827-4832
Number of pages6
DOIs
StatePublished - Nov 27 2007
Event2007 IEEE International Conference on Robotics and Automation, ICRA'07 - Rome, Italy
Duration: Apr 10 2007Apr 14 2007

Publication series

NameProceedings - IEEE International Conference on Robotics and Automation
ISSN (Print)1050-4729

Other

Other2007 IEEE International Conference on Robotics and Automation, ICRA'07
Country/TerritoryItaly
CityRome
Period4/10/074/14/07

Fingerprint

Dive into the research topics of 'Moving shadow detection with low- And mid-level reasoning'. Together they form a unique fingerprint.

Cite this