DocumentCode :
2969147
Title :
Counting people in crowd open scene based on grey level dependence matrix
Author :
Sen, Guo ; Wei, Liu ; HePing, Yan
Author_Institution :
Shenzhen Inst. of Inf. Technol., Shenzhen, China
fYear :
2009
fDate :
22-24 June 2009
Firstpage :
228
Lastpage :
231
Abstract :
This paper discusses people counting of crowd open scene according to statistics. Firstly, 16 features of texture of scene image is obtained based on grey level dependence matrix which is called feature vector, and feature matrix is construct based on those vectors. Then the most significant features are taken based on principal component analysis and the statistical model of number of people which are included in image according to feature vector is built. At last, people is counted based on those statistical models. Experiment According to the experiments, the results show that this method is efficient and feasible.
Keywords :
image texture; matrix algebra; surveillance; vectors; crowd open scene; feature matrix; feature vector; grey level dependence matrix; people counting; principal component analysis; scene image texture features; surveillance system automation; Automation; Education; Entropy; Equations; Image analysis; Investments; Layout; Linear regression; Statistical analysis; Surveillance; crowd density estimation; grey level dependence matrix; regression analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information and Automation, 2009. ICIA '09. International Conference on
Conference_Location :
Zhuhai, Macau
Print_ISBN :
978-1-4244-3607-1
Electronic_ISBN :
978-1-4244-3608-8
Type :
conf
DOI :
10.1109/ICINFA.2009.5204926
Filename :
5204926
Link To Document :
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