Paper Info
Title
Matching gait image sequences in the frequency domain for tracking people at a distance
Abstract
This paper describes a new method to track people walking by matching their gait image sequences in the frequency domain. When a person walks at a distance from a camera, that person often appears and disappears due to being occluded by other people and/or objects, or by going out of the field of view. Therefore, it is important to track the person by taking correspondence of the image sequences between before and after the disappearance. In the case of tracking, the computational time is more crucial factor than that in the case of identification. We create a three-dimensional volume by piling up an image sequence of human walking. After using Fourier analysis to extract the frequency characteristics of the volume, our method computes the similarity of two volumes. We propose a method to compute their correlation of the amplitude of the principal frequencies to improve the cost of comparison. Finally, we experimentally test our method and validate that the amplitude of principal frequencies and spatial information are important to discriminate gait image sequences.
Year
DOI
Venue
2006
10.1007/11612704_15
ACCV
Keywords
Field
DocType
human walking,frequency domain,discriminate gait image sequence,principal frequency,image sequence,fourier analysis,frequency characteristic,new method,three-dimensional volume,gait image sequence,three dimensional,field of view,spatial information
Frequency domain,Field of view,Spatial analysis,Computer vision,Similitude,Pattern recognition,Computer science,Image processing,Gesture recognition,Artificial intelligence,Pattern matching,Spatial frequency
Conference
Volume
ISSN
ISBN
3852
0302-9743
3-540-31244-7
Citations 
PageRank 
References 
9
0.82
11
Authors
4
Name
Order
Citations
PageRank
Ryusuke Sagawa163152.61
Yasushi Makihara2101270.67
Tomio Echigo334825.41
Yasushi Yagi41752186.22