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Issue No.08 - August (2004 vol.26)
pp: 1079-1087
ABSTRACT
<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>
INDEX TERMS
Detecting moving objects, dichromatic reflection model, physics-based segmentation, shadows in video, spatio-temporal albedo ratio.
CITATION
Sohail Nadimi, "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
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