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Title
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Multiple Human Detection in Images Based on Differential Evolution and HOG-LBP
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Type
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Presentation
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Keywords
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Human detection; DE algorithm; HOGLBP feature; support vector machine.
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Abstract
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In this paper a method for multiple human detection in the image has been presented. This method uses differential evolution (DE) algorithm to improve window position detection speed and HOG-LBP algorithm for feature extraction. Fitness function for DE algorithm is SVM and in the final state, a postprocessing on detected windows by DE algorithm is performed. This method has been tested on INRIA datasets and its precision for detecting humans in the image is 92% which is better than state of the art methods
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Researchers
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(Second Researcher), (First Researcher), Hassan Khotanlou (Third Researcher)
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