Paper Info
Title
Identification of humans using infrared gait recognition
Abstract
Human body is a natural emitter of infrared ray. Usually the body temperature is different from that of surrounding. This leads to gray-scale difference between human body and background in infrared thermal image. So the method of infrared thermal imaging was presented to classify gaits. Firstly, infrared videos of 23 subjects were collected by using infrared thermal camera. Body silhouettes were extracted and normalized to obtain the gait feature image. Then the wavelet transform was combined with invariant moments to compute the moment parameters based on integral model. The gait feature image was simplified to extract the parameters based on the body skeleton. Finally, the parameters were applied to support vector machine for classification. This method achieved 71%∼92% for the probability of correct recognition. The results showed that it was insensitive for loading objects (backpack and volleyball) to recognize gaits in infrared video. Also it is easy to detect the moving human body during the whole day.
Year
DOI
Venue
2009
10.1109/VECIMS.2009.5068916
VECIMS
Keywords
Field
DocType
body skeleton,infrared thermal camera,infrared thermal image,infrared video,body silhouette,gait feature image,body temperature,human body,infrared thermal imaging,infrared ray,infrared gait recognition,temperature,probability,wavelet transforms,support vector machine,data mining,cotton,infrared,skeleton,support vector machines,image recognition,gray scale,optical imaging,feature extraction,gait analysis,wavelet transform
Computer vision,Normalization (statistics),Pattern recognition,Gait,Computer science,Support vector machine,Feature extraction,Gait analysis,Invariant (mathematics),Artificial intelligence,Infrared,Wavelet transform
Conference
Citations 
PageRank 
References 
1
0.35
7
Authors
6
Name
Order
Citations
PageRank
Dong Ming110551.47
Zhaojun Xue2603.23
Lin Meng312.38
Baikun Wan410416.90
Yong Hu519738.46
KDK Luk681.90