Head Detection Using Extreme Learning Machine

摘要：

　　It is difficult for most object detection systems to deal with the nonrigid objects since the descriptions of these objects are diverse.This paper proposes a new vision-based head detection method by using extreme learning machine(ELM).ELM is an efficient learning algorithm for generalized single hidden layer feedforward networks.This proposed method employs the histograms of oriented gradients(HOG)as features to describe the head objects.In order to improve the accuracy,HSV color features are also included.This proposed method is tested on PASCAL datasets.Experimental results have demonstrated the detection performance and efficiency of this proposed ELM-based head detection method.

关键词： Human head detection Extreme learning machine Histograms of oriented gradients PASCAL database

作者: Changliang Sun Yuanlong Yu

作者单位: College of Mathematics and Computer Science,Fuzhou University,Fuzhou 350116,Fujian,China

会议类型: 国际会议

会议名称: The 2015 Chinese Intelligent Automation Conference(2015中国智能自动化会议)

会议地点: 福州

会议语种:英文

页码: 247-255

在线出版日期: 2015-05-08（万方平台首次上网日期，不代表论文的发表时间）