基于差分进化和HOG-LBP的图像多人检测

2016 Eighth International Conference on Information and Knowledge Technology (IKT) Pub Date : 2016-09-01 DOI:10.1109/IKT.2016.7777779

Zohreh Ahmadipour, Mahlagha Afrasiabi, Hassan Khotanlou

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引用次数: 3

摘要

本文提出了一种图像中多人的检测方法。该方法采用差分进化算法提高窗口位置检测速度，采用HOG-LBP算法进行特征提取。DE算法的适应度函数为SVM，在最终状态下，对DE算法检测到的窗口进行后处理。该方法已在INRIA数据集上进行了测试，其检测图像中人的精度为92%，优于目前的方法。

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Multiple human detection in images based on differential evolution and HOG-LBP

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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2016 Eighth International Conference on Information and Knowledge Technology (IKT)

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