TY - GEN
T1 - Object detection in low illumination environment
AU - Lee, Suk Ho
AU - Han, Seung Il
AU - Kang, Moon Gi
PY - 2009
Y1 - 2009
N2 - We propose a motion detection algorithm which works well in low illumination environments. By using the level set based bimodal motion segmentation, the algorithm obtains an automatic segmentation of the motion region and the spurious regions due to the large CCD noise in low illumination environment are removed effectively. Based on a noise analysis, we will show how to obtain the required parameters automatically. Experimental results verify the stableness of the proposed algorithm in low illumination conditions.
AB - We propose a motion detection algorithm which works well in low illumination environments. By using the level set based bimodal motion segmentation, the algorithm obtains an automatic segmentation of the motion region and the spurious regions due to the large CCD noise in low illumination environment are removed effectively. Based on a noise analysis, we will show how to obtain the required parameters automatically. Experimental results verify the stableness of the proposed algorithm in low illumination conditions.
UR - http://www.scopus.com/inward/record.url?scp=84861306850&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84861306850&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84861306850
SN - 9788086943930
T3 - 17th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, WSCG'2009 - In Co-operation with EUROGRAPHICS, Full Papers Proceedings
SP - 33
EP - 38
BT - 17th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, WSCG'2009 - In Co-operation with EUROGRAPHICS, Full Papers Proceedings
T2 - 17th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, WSCG'2009
Y2 - 2 February 2009 through 5 February 2009
ER -