Energy flow: image correspondence approximation for motion analysis
We propose a correspondence approximation approach between temporally adjacent frames for motion analysis. First, energy map is established to represent image spatial features on multiple scales using Gaussian convolution. On this basis, energy flow at each layer is estimated using Gauss–Seidel iter...
Main Authors: | Wang, Liangliang, Li, Ruifeng, Fang, Yajun |
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Other Authors: | Massachusetts Institute of Technology. Microsystems Technology Laboratories |
Format: | Article |
Language: | en_US |
Published: |
SPIE
2016
|
Online Access: | http://hdl.handle.net/1721.1/103903 |
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