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- W82170343 abstract "Pedestrian detection in thermal infrared image is a challenging and hot topic. In this paper, a novel and robust pedestrian detection method based on Binarized Normed Gradients (BING) and Extreme Learning Machine (ELM) is proposed. The candidates are firstly generated using BING, and then ELM is used to classify a candidate to be pedestrian or not. Experiment results indicate that our method can obtain better performance than traditional Support Vector Machine (SVM)." @default.
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- W82170343 date "2015-01-01" @default.
- W82170343 modified "2023-09-23" @default.
- W82170343 title "Pedestrian Detection in Thermal Infrared Image Using Extreme Learning Machine" @default.
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- W82170343 doi "https://doi.org/10.1007/978-3-319-14066-7_4" @default.
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