发明名称 |
Image processing apparatus, image processing method, program, and recording medium for learning from moving images |
摘要 |
An image processing apparatus includes: an image feature outputting unit that outputs each of image features in correspondence with a time of the frame; a foreground estimating unit that estimates a foreground image at a time s by executing a view transform as a geometric transform on a foreground view model and outputs an estimated foreground view; a background estimating unit that estimates a background image at the time s by executing a view transform as a geometric transform on a background view model and outputs an estimated background view; a synthesized view generating unit that generates a synthesized view by synthesizing the estimated foreground and background views; a foreground learning unit that learns the foreground view model based on an evaluation value; and a background learning unit that learns the background view model based on the evaluation value by updating the parameter of the foreground view model. |
申请公布号 |
US8849017(B2) |
申请公布日期 |
2014.09.30 |
申请号 |
US201213427199 |
申请日期 |
2012.03.22 |
申请人 |
Sony Corporation |
发明人 |
Ito Masato;Sabe Kohtaro;Yokono Jun |
分类号 |
G06K9/62;G06T7/00 |
主分类号 |
G06K9/62 |
代理机构 |
Finnegan, Henderson, Farabow, Garrett & Dunner, L.L.P. |
代理人 |
Finnegan, Henderson, Farabow, Garrett & Dunner, L.L.P. |
主权项 |
1. An image processing apparatus comprising:
an image feature outputting unit that outputs each of image features, which are formed as features of a plurality of feature points of images of each frame in data of an input moving image, in correspondence with a time of the frame; a foreground estimating unit that estimates a foreground image at a time s by executing a view transform as a geometric transform on a foreground view model having the image feature of a foreground image in the image as a parameter in regard to the image feature at the time s, and then outputs an estimated foreground view; a background estimating unit that estimates a background image at the time s by executing a view transform as a geometric transform on a background view model having the image feature of a background image in the image as a parameter in regard to the image feature at the time s, and then outputs an estimated background view; a synthesized view generating unit that generates a synthesized view by synthesizing the estimated foreground view and the estimated background view; a foreground learning unit that learns the foreground view model based on an evaluation value obtained by comparison between the synthesized view and the image feature at the time s by updating the parameter of the foreground view model based on a stochastic generation model; and a background learning unit that learns the background view model based on the evaluation value by updating the parameter of the background view model based on a stochastic generation model. |
地址 |
Tokyo JP |