Occlusion/disocclusion detection using K-means clustering near object boundary with comparison of average motion of clusters to object and background motions
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United States of America Patent
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Nov 28, 2006
Issued Date -
N/A
app pub date -
Apr 21, 2003
filing date -
Jan 11, 2003
priority date (Note) -
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Abstract
An object in a video sequence is tracked by object masks generated for frames in the sequence. Macroblocks are motion compensated to predict the new object mask. Large differences between the next frame and the current frame detect suspect regions that may be obscured in the next frame. The motion vectors in the object are clustered using a K-means algorithm. The cluster centroid motion vectors are compared to an average motion vector of each suspect region. When the motion differences are small, the suspect region is considered part of the object and removed from the object mask as an occlusion. Large differences between the prior frame and the current frame detect suspected newly-uncovered regions. The average motion vector of each suspect region is compared to cluster centroid motion vectors. When the motion differences are small, the suspect region is added to the object mask as a disocclusion.
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