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- W2357475980 abstract "Aiming to design a reconfigurable model to deal with vehicle detection and classificationm,the model that consisted of one low-resolution template covering the whole model and several small and high-resolution templates representing the components was proposed to detect vehicles in natural scene.To achieve the optimal configuration of this model,a methodology of divided part model algorithm was put forward to define the positions and sizes of the templates,and this methodology significantly improved the accuracy of vehicles detection.The optimal configuration of templates was obtained using the SVM algorithm.Besides,an object fusion algorithm was used in detection to avoid the phenomenon that one target was detected repeatedly.The experiment result shows that compared with the PBT(part basis template model)method,the proposed method promotes both the recall rate and the accuracy in vehicle detection and classification." @default.
- W2357475980 created "2016-06-24" @default.
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- W2357475980 date "2015-01-01" @default.
- W2357475980 modified "2023-09-23" @default.
- W2357475980 title "Vehicles detection in natural scene based on part model" @default.
- W2357475980 hasPublicationYear "2015" @default.
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