Paper Info
Title
A method of pedestrian detection based on rhythm of walking
Abstract
It is important for mobile robots and security purposes to discriminate a pedestrian among moving objects in a video. This paper proposes a method which discriminates a pedestrian from other objects by using periodic motions of the feet, and the characteristics of the rhythm of pace and stride. This method uses brightness changes in sequential images of a moving object contacting with the ground, and extracts the main component of the frequency using a power spectrum estimation. Therefore, the method is independent of pedestrian's appearance such as clothes, build, and hair style. The system realizing this method consists of three processes: moving object detection which uses the difference between successive image frames; tracking of the moving object using a moving model with an extended Kahman filter and an observation model; and detection of the pedestrian based on rhythm of walking using the difference of brightness between images on successive frames. The whole process is performed in realtime. Experiments using real scenes confirm the effectiveness of the proposed method: 446 pedestrians out of 470 were successfully detected (detection rate 94.9%), and 101 persons out of 106 were successfully detected as non-pedestrians (96.2%).
Year
DOI
Venue
1996
10.1002/scj.4690270201
SYSTEMS AND COMPUTERS IN JAPAN
Keywords
Field
DocType
pedestrian detection,tracking,rhythm of walking,pace,stride
Computer vision,Object detection,Pedestrian,STRIDE,Computer science,Image processing,Spectral density,Artificial intelligence,Pedestrian detection,Brightness,Mobile robot
Journal
Volume
Issue
ISSN
27
2
0882-1666
Citations 
PageRank 
References 
2
0.38
2
Authors
3
Name
Order
Citations
PageRank
Satoshi Yasutomi120.38
Hideo Mori26318.37
Noriaki Kiyohiro3225.70