Abstract
This paper tackles the problem of robust change detection in image sequences from static cameras. Motion cues are detected using frame differencing with an adaptive background estimation modelled by a mixture of Gaussians. Illumination invariance and elimination or detection of shadows is achieved by using a colour chromaticity representation of the image data.
Original language | English |
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Title of host publication | Video Based Surveillance Systems: Computer Vision and Distributed Processing |
Editors | P. Remagnino, G. A. Jones, N. Paragios, C. Regazzoni |
Place of Publication | New York |
Publisher | Springer |
Chapter | 8 |
Pages | 101-111 |
ISBN (Electronic) | 978-1-4615-0913-4 |
ISBN (Print) | 978-1-4613-5301-0 |
DOIs | |
Publication status | Published - 2002 |
Externally published | Yes |
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Xu, M., & Ellis, T. (2002). Colour-invariant motion detection under fast illumination changes. In P. Remagnino, G. A. Jones, N. Paragios, & C. Regazzoni (Eds.), Video Based Surveillance Systems: Computer Vision and Distributed Processing (pp. 101-111). Springer. https://doi.org/10.1007/978-1-4615-0913-4_8