Abstract:
Segmentation of image is very
challenging in tracking down the movement of
humans. In this paper we applied optical flow to
differentiate the features between walk and run.
The features extraction generated was based on
shape and velocity of the movement. The features
based on shape will generate perimeter, area and
centroid meanwhile the usage of velocity will
generate angle and magnitude. The implementation
of these techniques will produce the understanding
of intensity in term of high and low level feature
extraction. The output shows that the dynamic
movement of human can be evaluated consistently
by shape in the situation of constant lighting but the
angle distribution or magnitudes are more robust in
any environment
