Motion Detection Based on Temporal Difference Method and Optical Flow field

Author

Shuigen, Wei ; Zhen, Chen ; Hua, Dong

Author_Institution

Lab. of Comput. Vision, Nanchang Hangkong Univ., Nanchang, China

Volume

2

fYear

2009

fDate

22-24 May 2009

Firstpage

85

Lastpage

88

Abstract

A motion detection method based on temporal difference and optical flow field is proposed in this paper. Firstly, an absolute differential image is calculated from two consecutive gray images. The absolute differential image is filtered by low-pass filter and translation into binary image. Edge of moving object is indexed from row-coordinate and column-coordinate. Secondly, optical flow field is calculated from image sequences by Hron´s algorithm. Thirdly, moving object area is found out by indexed edge and optical flow field above. Experimental results show that this method is suitable and effective.

Keywords

difference equations; image motion analysis; image sequences; low-pass filters; object detection; Hron algorithm; absolute differential image; computer vision; gray images; image sequences; low-pass filter; motion detection method; optical flow field; temporal difference method; Computer vision; Filtering; Gaussian processes; Image edge detection; Image motion analysis; Image sequences; Low pass filters; Motion detection; Optical filters; Optical sensors; Computer vision; Motion detection; Optical flow field; Temporal difference method;

fLanguage

English

Publisher

ieee

Conference_Titel

Electronic Commerce and Security, 2009. ISECS '09. Second International Symposium on

Conference_Location

Nanchang

Print_ISBN

978-0-7695-3643-9

Type

conf

DOI

10.1109/ISECS.2009.62

Filename

5209870