DocumentCode
3253922
Title
Moving object velocity estimation by appropriately choosing spatial frequencies in the MixeD domain
Author
Wu, Shengli ; Hamada, Nozomu
Author_Institution
Dept. of Syst. Design Eng., Keio Univ., Yokohama, Japan
fYear
1999
fDate
1999
Firstpage
99
Lastpage
102
Abstract
To estimate moving objects velocity in an image sequence is useful for a variety of applications, such as computer vision and monitoring systems. An effective way is to approach it in the transform/spatiotemporal mixed domain (MixeD), but it remains a problem how to select several 2-D spatial frequency points in MixeD domain which may influence the accuracy of velocity estimation and object detection. We propose a method to approach the velocity estimation problem by automatically selecting only two appropriate points in 2-D spatial frequency domain, the selection is achieved by using the established evaluation function together with a threshold. The simulation results show that the proposed method is effective on the selection of spatial frequency points
Keywords
adaptive signal processing; computer vision; discrete Fourier transforms; frequency-domain analysis; image sequences; motion estimation; multidimensional signal processing; object detection; 2D spatial frequency domain; 2D spatial frequency points selection; 3D signal processing; DFT; MixeD domain; adaptive selection method; computer vision; evaluation function; image sequence; monitoring systems; moving object velocity estimation; object detection; simulation results; spatial frequencies; threshold; transform/spatiotemporal mixed domain; Band pass filters; Design engineering; Discrete Fourier transforms; Equations; Fourier transforms; Frequency domain analysis; Frequency estimation; Object detection; Signal processing; Systems engineering and theory;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications, Computers and Signal Processing, 1999 IEEE Pacific Rim Conference on
Conference_Location
Victoria, BC
Print_ISBN
0-7803-5582-2
Type
conf
DOI
10.1109/PACRIM.1999.799487
Filename
799487
Link To Document