CSDL Home IEEE Transactions on Pattern Analysis & Machine Intelligence 2004 vol.26 Issue No.08 - August
Issue No.08 - August (2004 vol.26)
Sohail Nadimi , IEEE
Bir Bhanu , IEEE
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/TPAMI.2004.51
<p><b>Abstract</b>—Current moving object detection systems typically detect shadows cast by the moving object as part of the moving object. In this paper, the problem of separating moving cast shadows from the moving objects in an outdoor environment is addressed. Unlike previous work, we present an approach that does not rely on any geometrical assumptions such as camera location and ground surface/object geometry. The approach is based on a new spatio-temporal albedo test and dichromatic reflection model and accounts for both the sun and the sky illuminations. Results are presented for several video sequences representing a variety of ground materials when the shadows are cast on different surface types. These results show that our approach is robust to widely different background and foreground materials, and illuminations.</p>
Detecting moving objects, dichromatic reflection model, physics-based segmentation, shadows in video, spatio-temporal albedo ratio.
Sohail Nadimi, Bir Bhanu, "Physical Models for Moving Shadow and Object Detection in Video", IEEE Transactions on Pattern Analysis & Machine Intelligence, vol.26, no. 8, pp. 1079-1087, August 2004, doi:10.1109/TPAMI.2004.51