Data driven frequency mapping for computationally scalable object detection

Porikli, Fatih; Ozkan, Huseyin

Data driven frequency mapping for computationally scalable object detection

Date

2011

Authors

Porikli, Fatih

Ozkan, Huseyin

Publisher

Institute of Electrical and Electronics Engineers (IEEE Inc)

Keywords

Keywords: Basis functions; Classification accuracy; Computationally-scalable; Data driven; Feature space; Fourier; Frequency mapping; Hypotheses generation; Input datas; Linear classifiers; Nonlinear kernels; Number of datum; Object Detection; Radial basis function

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http://hdl.handle.net/1885/30599

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ANU Research Publications

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IEEE International Conference on Advanced Video and Signal-Based Surveillance (AVSS 2011) proceedings

Type

Conference paper

DOI

10.1109/AVSS.2011.6027289

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2037-12-31

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01_Porikli_Data_driven_frequency_mapping_2011.pdf (864.62 KB)

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Data driven frequency mapping for computationally scalable object detection

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