|A new motion detection algorithm based on snake and mean shift|
|Liu Yulan; Peng Silong; Yulan Liu
|Conference Name||1st International Congress on Image and Signal Processing CISP 2008
|Conference Place||中国Sanya Hainan China
|Abstract||Active contour model and mean shift are both
motion detection algorithms. Each of them has its own
merits and shortcomings. An active contour tends to be
tracked by noise points and results in a false boundary.
A mean shift vector always points to the edge area
when the start point is around the object With initial
curves given near the objects in each image
automatically we presented a new motion detection
algorithm which used the internal energy of active
contour to keep a curve continuous and smooth and
also used the mean shift vector to track the curve to the
real object boundary step by step with an iterative
process. Experimental results showed that this
algorithm can improve the segmenting results greatly
in noisy videos.|
Active Contour Model
|Corresponding Author||Yulan Liu|
Liu Yulan,Peng Silong,Yulan Liu. A new motion detection algorithm based on snake and mean shift[C],2008:pp 140-144.
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