发明名称 |
Method and apparatus for detecting smoke from image |
摘要 |
Provided are a fire detecting apparatus and a method thereof for detecting a fire, the method includes operations of extracting a feature of at least one object in an input image by using a value of a brightness difference between pixels of the input image or by using an RGB value of the input image; converting the extracted feature of the at least one object into an N dimensional feature; and performing Support Vector Machine (SVM) machine learning on the N dimensional feature of the at least one object. |
申请公布号 |
US9443149(B2) |
申请公布日期 |
2016.09.13 |
申请号 |
US201414288844 |
申请日期 |
2014.05.28 |
申请人 |
KOREA ADVANCED INSTITUTE OF SCIENCE AND TECHNOLOGY;Hanwha Techwin Co., Ltd. |
发明人 |
Kim Ji Ho;Lee Hyun Nam;Bae Soon Min;Hwang Soon Min;Choi Jong Won;Lee Joon Young;Oh Tae Hyun;Kweon In So |
分类号 |
G06K9/00;G08B17/12 |
主分类号 |
G06K9/00 |
代理机构 |
Sughrue Mion, PLLC |
代理人 |
Sughrue Mion, PLLC |
主权项 |
1. A fire detecting apparatus comprising:
at least one processor to implement:
an object feature extracting unit configured to extract a feature of at least one object in an input image;a converting unit configured to convert the extracted feature of the at least one object into an N dimensional feature, where N is a natural number; anda mechanical learning unit configured to perform machine learning on the N dimensional feature of the at least one object, based on coordinate values of the N dimensional feature, to detect a fire and or a smoke, wherein the object feature extracting unit is further configured to obtain a differential image of the input image, calculate a weight and a differential direction for each pixel of the differential image, generate a normalization image by normalizing a histogram of the differential direction with respect to the weight, and extract the feature of the at least one object from the normalized histogram. |
地址 |
Daejeon-si KR |