| Detecting Moving Humans
Using Color and Infrared Video
Presented by: Ju Han
We approach the task of human silhouette extraction from
color and infrared video using automatic image registration.
Image registration between color and thermal images is a challenging
problem due to the difficulties associated with finding correspondence.
However, the moving people in a static scene provide cues
to address this problem. In this paper, we propose a hierarchical
scheme to automatically find the correspondence between the
preliminary human silhouettes extracted from color and infrared
video for image registration. Next, we discuss some strategies
for probabilistically combining cues from registered color
and thermal images. It is shown that the proposed approach
achieves good results for image registration and human silhouette
extraction. Experimental results also show a comparison of
sensor fusion strategies and demonstrate the improvement in
performance for human silhouette extraction.