Classification and Recognition of Vehicle and Pedestrian in Surveillance

摘要：

In this paper,we present a novel classifying method for vehicle and pedestrian categories in intelligent traffic surveillance. A dual-layer Bag-of-Words model solve the problem of detecting and recognizing the moving vehicles and pedestrian. In the learning and recognizing stage a two-layer Probabilistic Latent Semantic Analysis is proposed. The experimental results show that the classification and recognition method achieved higher accuracy and speed at the outside compared to existing methods.

关键词： Target classification Interest points Bag of words Probabilistic Latent Semantic Analysis(PLSA)

作者: Chunfang Zhang Ruitai Li Xizhen Zheng

作者单位: Mathematics and Information Department Hebei Normal University Shijiazhuang. China The College of Chinese Veterinary Medicine Agricultural University of Hebei baoding,Hebei Province,

会议类型: 国际会议

会议名称: 2011 3rd International Conference on Computer and Automation Engineering(ICCAE 2011)(2011年第三届IEEE计算机与自动化工程国际会议)

会议地点: 重庆

会议语种:英文

页码: 548-552

在线出版日期: 2011-01-21（万方平台首次上网日期，不代表论文的发表时间）