Abstract
Automatic video segmentation plays an important role in real-time MPEG-4 encoding systems. This paper presents a video segmentation algorithm for MPEG-4 camera system. With change detection, background registration techniques and real time adaptive threshold techniques. This algorithm can give satisfying segmentation results with low computation load. Besides, it has shadow cancellation mode, which can deal with light changing effect and shadow effect. Furthermore, this algorithm also implemented real time adaptive threshold techniques by which the parameters can be decided automatically.
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© 2009 Springer-Verlag Berlin Heidelberg
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Beevi, C.P.Y., Natarajan, S. (2009). A Novel Video Segmentation Algorithm with Shadow Cancellation and Adaptive Threshold Techniques. In: Ślęzak, D., Pal, S.K., Kang, BH., Gu, J., Kuroda, H., Kim, Th. (eds) Signal Processing, Image Processing and Pattern Recognition. SIP 2009. Communications in Computer and Information Science, vol 61. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10546-3_36
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DOI: https://doi.org/10.1007/978-3-642-10546-3_36
Publisher Name: Springer, Berlin, Heidelberg
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