Moving Vehicle Detection Using Oriented Histograms of Differential Flow and Extreme Learning Machine

摘要：

　　Detecting vehicle in video is a challenging problem owing to the motion of vehicle,camera and background,and to variations of speed.This paper proposes a classifier-based supervised method to detect moving vehicle from a moving camera.Motion descriptors based on oriented histograms of differential optical flow be able to describe the motion pattern of the object from changing background.And Extreme Learning Machine provides excellent generalization performance at fast speed.Our sample images taken by a camera in helicopter include 2000 images.Experiment results shown that this proposed method has not only overall discrimination performance but also low computational cost.

关键词： Differential optical flow Optical flow Histogram of oriented gradient Extreme learning machine

作者: Li Kang Yuanlong Yu

作者单位: College of Mathematics and Computer Science,Fuzhou University,2 Xue Yuan Road,University Town,Fuzhou,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: 371-378

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）