|Table of Contents|

Significant Spare Representation of Typical Indoor Scene Recognition(PDF)

《南京师范大学学报》(自然科学版)[ISSN:1001-4616/CN:32-1239/N]

Issue:
2017年01期
Page:
79-
Research Field:
·数学与计算机科学·
Publishing date:

Info

Title:
Significant Spare Representation of Typical Indoor Scene Recognition
Author(s):
Yan Han1Liu Jixin2Gong Jianrong2
(1.College of Telecommunication and Information Engineering,Nanjing University of Posts and Telecommunications,Nanjing 210003,China)(2.Engineering Research Center of Education,Nanjing University of Posts and Telecommunications,Nanjing 210003,China)
Keywords:
scene recognitionindoor scene classificationsalient region detectionsparse representation
PACS:
TP391
DOI:
10.3969/j.issn.1001-4616.2017.01.012
Abstract:
With the development and popularization of information technology and intelligent robots,scene recognition as an important research content has become an important research in the field of computer vision and pattern recognition problem. Solving the problem of the low classification accuracy for indoor scene will help the indoor scene classification in some areas of application:the image retrieval,video retrieval of the scene and the robot. Conventional scene recognition methods have poor performance in indoor situations. For this reason,a sparse representation indoor scene recognition method is presented,which based on significant detection. This method is using significant recognition detection to extract the scene in the image area which we are interested in,and combined with sparse representation to scene classification recognition. Experimental results show that this method can be applied to a typical family indoor scenarios(e.g.,bedroom,kitchen,closet,etc.)and have certain advantages in terms of recognition accuracy.

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