Titlebook: Computer Vision Systems; 7th International Co Mario Fritz,Bernt Schiele,Justus H. Piater Conference proceedings 2009 Springer-Verlag Berlin

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书目名称Computer Vision Systems影响因子(影响力)




书目名称Computer Vision Systems影响因子(影响力)学科排名




书目名称Computer Vision Systems网络公开度




书目名称Computer Vision Systems网络公开度学科排名




书目名称Computer Vision Systems被引频次




书目名称Computer Vision Systems被引频次学科排名




书目名称Computer Vision Systems年度引用




书目名称Computer Vision Systems年度引用学科排名




书目名称Computer Vision Systems读者反馈




书目名称Computer Vision Systems读者反馈学科排名

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Cascade Classifier Using Divided CoHOG Features for Rapid Pedestrian Detectioncause the feature vector is very high-dimensional. In this paper, in order to achieve rapid detection, we propose a novel method to divide the CoHOG feature into small features and construct a cascade-structured classifier by combining many weak classifiers. The proposed cascade classifier rejects n

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Individual Identification Using Gait Sequences under Different Covariate Factorstance using low-resolution capturing device. Human gait properties can be affected by different clothing and carrying objects (i.e. covariate factors). Most of the literature shows that these covariate factors give difficulties for individual identification based on gait. In this paper, we propose a

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Using Local Symmetry for Landmark Selection points are detected using contrast features, for instance those of the Scale Invariant Feature Transform (SIFT). The SIFT interest points, however, have problems with stability, and noise robustness. Taking our inspiration from human vision, we therefore propose the use of local symmetry to select

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