Convolution Pedestrian Detection Based on Random Fusion of Color and Gradient

	Convolution Pedestrian Detection Based on Random Fusion of Color and Gradient
	Gui Xiangquan 1; Jiang Jiajun 1; Li, Li 1; Chen, Dongmei 2; Gao, Lei 2
	2017
关键词	double color channel switching extended operator random fusion
卷号	148
页码	26-34
英文摘要	The complex prospects in pedestrian detection, such as backpacks and other obstacles, are likely to cause interference to pedestrians. Since previous pedestrian detection can only use separate gradient information, the color information is neglected, and the gradient direction information is not accurate because of noise. In this paper, we propose a convolution network based on the combination of double color and improved Sobel extended gradient information to detect pedestrians and other prospects. The model combines convolution of RGB and HSI color channels and improved Sobel extended gradient fusion channels respectively. Then the stochastic fusion feature vector method is proposed to fuse the color and gradient information randomly, and the final result of pedestrian detection is obtained. Experimental results show that the proposed method improves the detection accuracy.
会议录	PROCEEDINGS OF THE 3RD WORKSHOP ON ADVANCED RESEARCH AND TECHNOLOGY IN INDUSTRY (WARTIA 2017)
会议录出版者	ATLANTIS PRESS
会议录出版地	29 AVENUE LAVMIERE, PARIS, 75019, FRANCE
语种	英语
WOS研究方向	Engineering
WOS记录号	WOS:000416080800006
内容类型	会议论文
源URL	[http://119.78.100.223/handle/2XXMBERH/36281]
专题	计算机与通信学院
作者单位	1.LanZhou Univ Technol, Sch Comp & Commun, 287 Lan Gong Ping Rd, Lanzhou, Gansu, Peoples R China; 2.GanSu Prov Lanzhou Three Dimens Big Data Standard, Lanzhou 730050, Gansu, Peoples R China
推荐引用方式 GB/T 7714	Gui Xiangquan,Jiang Jiajun,Li, Li,et al. Convolution Pedestrian Detection Based on Random Fusion of Color and Gradient[C]. 见:.