Multiview Image Classification via Nonnegative Least Squares

摘要：

　　Multiview object classification and recognition is of great importance in many applications such as computer vision and robotics by Kuo and Nevatia(Applications of computer vision(WACV),p.18,2009).This paper focuses on the specific case of multiview pedestrian image classification.The contributions of this paper are twofold.First,we collected a new multiview pedestrian dataset,which has been manually labeled with viewpoint,posture,and scene category tags.Second,a nonnegative least square(NNLS)-based multiview pedestrian image classification method is presented by Pang et al.(IEEE transactions on image processing,vol 20,pp.1388-1400).Experimental results demonstrate that the proposed method is robust and effective.

关键词： Multiview pedestrian dataset Object recognition Nonnegative least square Image classification

作者: Longfei Wu Hao Sun Kefeng Ji Yaxiang Fan Ying Zhang

作者单位: College of Electronic Science and Engineering,National University of Defense Technology,Changsha 410073,Peoples Republic of 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: 199-208

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）