发明名称 |
Apparatus and method for estimating the number of objects included in an image |
摘要 |
An apparatus and method for estimating the number of objects in an input image are disclosed. The apparatus includes: a learning unit that calculates counted values of a linear regression function by learning an arbitrary image; a separation unit that separates a foreground region and a background region of the input image; an extraction unit that searches for features that require an amount of calculation that is below a particular threshold from features having high correlation with each other feature and extracts the features from the separated foreground region; and an estimation unit that estimates the number of objects in the foreground region as a dependent variable by allocating the counted values of the linear regression function that are calculated by the learning unit and the features that are extracted by the extraction unit as independent variables of a linear regression function. |
申请公布号 |
US8798369(B2) |
申请公布日期 |
2014.08.05 |
申请号 |
US201213458390 |
申请日期 |
2012.04.27 |
申请人 |
Samsung Techwin Co., Ltd.;Postech Academy-Industry Foundation |
发明人 |
Jo Young-gwan;Noh Seung-in;Park Yong-jin;Han Joon-hee |
分类号 |
G06K9/46;G06K9/66;G06K9/62;G06K9/34;G06K9/00 |
主分类号 |
G06K9/46 |
代理机构 |
Sughrue Mion, PLLC |
代理人 |
Sughrue Mion, PLLC |
主权项 |
1. An apparatus for estimating the number of objects in an input image, the apparatus comprising:
at least one processor which implements:
a learning unit that calculates counted values of a linear regression function by learning an arbitrary image;a separation unit that separates a foreground region and a background region of the input image;an extraction unit that searches for features that require an amount of calculation that is below a particular threshold from features having high correlation with each other feature and extracts the features from the separated foreground region; andan estimation unit that estimates a number of objects in the foreground region as a dependent variable by allocating the counted values of the linear regression function that are calculated by the learning unit and the features that are extracted by the extraction unit as independent variables of the linear regression function. |
地址 |
Changwon KR |