Real-Time Human Detection Based on Optimized Integrated Channel Features

摘要：

　　We propose an optimized integrated channel features which can effectively improve the detection performance at the frame rate of 30 fps on images size of 640x480.The proposed method utilizes the distribution of filter response from positive and negative features to formulate the optimized combination of multiple filters.The optimized combination coefficient is learned from linear discriminative criterion which is superior to integrated channel features with random coefficients.Experimental results based on INRIA dataset shows the superiority of our method to other state-of-arts methods.

关键词： Human detection integrated channel feature Adaboost

作者: Jifeng Shen Xin Zuo Wankou Yang Guohai Liu

作者单位: School of Electrical and Information Engineering,Jiangsu University,Zhenjiang,Jiangsu,212013,China School of Computer Science and Engineering,Jiangsu University of Science and Technology,Zhenjiang,Ji School of Automation,Southeast University,Nanjing,Jiangsu,210096,China

会议类型: 国际会议

会议名称: Chinese Conference on Pattern Recognition, CCPR(2014年全国模式识别学术会议)

会议地点: 长沙

会议语种:英文

页码: 286-295

在线出版日期: 2014-11-01（万方平台首次上网日期，不代表论文的发表时间）