QQ客服 官方微博 反馈留言

	Histogram of Silhouette Direction Code: An Efficient HOG-based Descriptor for Accurate Human Detection
	Wei Yang; Zhan Song; Xinyu Wu
	2012
会议名称	2012 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND BIOMIMETICS (ROBIO 2012)
会议地点	中国
英文摘要	Histograms of Oriented Gradients (HOG) is an effective means for the human detection from image or video. Based on the HOG principle, this paper presents a more efficient method named Histogram of Silhouette Direction (HSD). To extract the silhouette pattern of human body, the average background model is used. A novel function that combined with brightness and color information is proposed to segment the foreground accurately and adaptively. The histogram of direction code is constructed via Freeman Chain Code of Eight Directions (FCCE) along the extracted silhouette and used as the feature descriptor. Compared with traditional HOG descriptor which calculates gradients of all image pixels, the proposed HSD descriptor can reduce the feature dimension and whole computation greatly. Experimental results with real video sequences show its improvements in both segmentation efficiency and accuracy.
收录类别	EI
语种	英语
内容类型	会议论文
源URL	[http://ir.siat.ac.cn:8080/handle/172644/3917]
专题	深圳先进技术研究院_集成所
作者单位	2012
推荐引用方式 GB/T 7714	Wei Yang,Zhan Song,Xinyu Wu. Histogram of Silhouette Direction Code: An Efficient HOG-based Descriptor for Accurate Human Detection[C]. 见:2012 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND BIOMIMETICS (ROBIO 2012). 中国.

个性服务

查看访问统计

相关权益政策

暂无数据

收藏/分享

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。