Motion Characteristics Estimation of Animals in Video Surveillance

摘要：

　　This paper proposes a system for the motion characteristics estimation of multiple objects with uncertain quantity.The system employs background subtraction method based on Gaussian Mixture Model to detect objects and tracks them through an improved algorithm combining Camshift with Kalman filtering.By analyzing the directions and trails of targets,the system can figure out their pixel distance and velocity.Experiment conducted realizes the proposed system,verifying its performance on motion characteristics estimation.

关键词： background subtraction method Gaussian mixture model Camshift tracking algorithm Kalman filtering motion characteristics analysis

作者: Wenhuan Huang Qili Zeng Ming Chen

作者单位: National Mobile Communications Research Laboratory,Southeast University School of Information Science and Engineering,Southeast University Nanjing,211189,China

会议类型: 国际会议

会议名称: 2017 IEEE 2nd Advanced Information Technology,Electronic and Automation Control Conference(IAEAC 2017)(2017 IEEE 第2届先进信息技术、电子与自动化控制国际会议)

会议地点: 重庆

会议语种:英文

页码: 1098-1102

在线出版日期: 2017-03-25（万方平台首次上网日期，不代表论文的发表时间）