Iterative motion segmentation

Image analysis – Learning systems

Reexamination Certificate

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C382S103000, C382S284000

Reexamination Certificate

active

07970205

ABSTRACT:
An image processing device which simultaneously secures and extracts a background image, at least two object images, a shape of each object image and motion of each object image, from among plural images, the image processing device including an image input unit (101) which accepts input of plural images; a hidden parameter estimation unit (102) which estimates a hidden parameter based on the plural images and a constraint enforcement parameter, which indicates a condition of at least one of the hidden parameters, using an iterative learning method; a constraint enforcement parameter learning unit (103) which learns a constraint enforcement parameter related to the hidden parameter using an estimation result from the hidden parameter estimation unit as a training signal; and a complementary learning unit (104) which causes the estimation of the hidden parameter and the learning of the constraint enforcement parameter, which utilize the result from the learning of the hidden parameter, to be iterated.

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P-M. Jodoin, et al., “Unsupervised Motion Detection Using a Markovian Temporal Model With Global Spatial Constraints”, Image Processing, 2004. ICIP '04, 2004 International Conference on Signapore, Oct. 24-27, 2004, Piscataway, NJ, USA, IEEE, Oct. 24, 2004, pp. 2591-2594, XP010786318.
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