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M.I.T. Media Lab Vision and Modeling Group Technical Report No. 223
 

Summary: M.I.T. Media Lab Vision and Modeling
Group Technical Report No. 223
Analyzing and Recognizing Walking
Figures in XYT
Sourabh A. Niyogi and Edward H. Adelson
sourabh@media.mit.edu and
adelson@media.mit.edu
Perceptual Computing Section
MIT Media Laboratory
20 Ames St., Cambridge, MA 02139
1 Introduction
We have derived a novel approach to the detec-
tion and recognition of human gait. In gait de-
tection, we nd a spatiotemporal pattern that
signals the presence of a walking person. In gait
recognition, we seek to identify the individual
who is walking. It is known that humans can
detect and recognize gait with reduce spatiotem-
poral sequences (such as moving light displays)
[3, 10], and we would like to give similar capa-

  

Source: Adelson, Edward - Computer Science and Artificial Intelligence Laboratory, Department of Brain and Cognitive Science, Massachusetts Institute of Technology (MIT)

 

Collections: Biology and Medicine