Abstract
Motion estimation is an important and computationally intensive task in video coding and video analysis. But existent motion estimation algorithms mainly focus on 2-D image plane motion and neglect the motion in depth direction, which we call it depth motion in this paper. There are even few researches on the depth motion, their methods are complex and most of them need binocular images. In this work, visual perception theory is used to estimate the depth motion. A novel depth motion estimate method is proposed base on visual perception theory and it can estimate the depth motion from just monocular video. Experimental results show that our model is simple, effective and corresponds to the human perception.
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© 2006 Springer-Verlag Berlin Heidelberg
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Li, B., Xu, D., Feng, S., Wang, F. (2006). Visual Perception Theory Guided Depth Motion Estimation. In: Cham, TJ., Cai, J., Dorai, C., Rajan, D., Chua, TS., Chia, LT. (eds) Advances in Multimedia Modeling. MMM 2007. Lecture Notes in Computer Science, vol 4351. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69423-6_20
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DOI: https://doi.org/10.1007/978-3-540-69423-6_20
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