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- W2355507753 abstract "This paper puts forward a multi-feature human detection algorithm based on the theory of D-S.This method firstly extract the characteristics of human body by using harr-like characteristics method and HOG characteristics method,then estimates two basic probability assignment function by use of the posterior probability density function,finally by combination rule in evidence theory of the application of D-S makes a fusion decision towards the classifier with two features.proposed one kind based on the D-S evidence theory fusion of multiple features of human detection algorithm.The method firstly uses the Harr-like method and HOG method to extract characteristic features characteristic of the human body,and then use estimated two,finally the application of D-S in,two feature classifier fusion decision.The experimental results show that the proposed algorithm in this paper obtains the better result in Inria data sets and meets the general requirements of Engineering application." @default.
- W2355507753 created "2016-06-24" @default.
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- W2355507753 date "2012-01-01" @default.
- W2355507753 modified "2023-09-26" @default.
- W2355507753 title "Multi-feature-fusion Human Detection Algorithm Based on the Theory of D-S" @default.
- W2355507753 hasPublicationYear "2012" @default.
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