TY - GEN
T1 - Real-time automatic moving object extraction and tracing based on improved active contour model
AU - Yunchuan, Geng
AU - Yangxing, Liu
AU - Satoshi, Goto
AU - Takeshi, Ikenaga
PY - 2005/12/1
Y1 - 2005/12/1
N2 - A real-time moving object extraction and tracing algorithm is proposed for videophone application. Semantic objects, mainly moving objects in this specified case, are extracted by block based change detection from first several frames. Improved active contour model is then utilized for object tracing. Since there is little difference between continuous two frames, only limited pixels need to be searched instead of whole frame scan so that computing complexity is greatly decreased. Therefore, it is able to be used for real-time applications such as that in videophone. However, previous active contour model is sensitive to noise. Error originating from noise traps accumulates and deteriorates the tracing results. So gradient projection (GP) and jump back (JB) mechanisms are introduced to suppress noise trap effect and error accumulation in this paper. Experiment results demonstrate that proposed algorithm is an efficient noise tolerable real-time approach.
AB - A real-time moving object extraction and tracing algorithm is proposed for videophone application. Semantic objects, mainly moving objects in this specified case, are extracted by block based change detection from first several frames. Improved active contour model is then utilized for object tracing. Since there is little difference between continuous two frames, only limited pixels need to be searched instead of whole frame scan so that computing complexity is greatly decreased. Therefore, it is able to be used for real-time applications such as that in videophone. However, previous active contour model is sensitive to noise. Error originating from noise traps accumulates and deteriorates the tracing results. So gradient projection (GP) and jump back (JB) mechanisms are introduced to suppress noise trap effect and error accumulation in this paper. Experiment results demonstrate that proposed algorithm is an efficient noise tolerable real-time approach.
UR - http://www.scopus.com/inward/record.url?scp=33847180563&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=33847180563&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:33847180563
SN - 0780392663
SN - 9780780392663
T3 - Proceedings of 2005 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2005
SP - 149
EP - 152
BT - Proceedings of 2005 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2005
T2 - 2005 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2005
Y2 - 13 December 2005 through 16 December 2005
ER -