| Abstract |
|
This paper presents two techniques for improving human
body tracking within the particle filtering scheme. Both
techniques explore the use of auxiliary measurements.
The first technique uses optical flow cues to improve the
sampling distribution. The second technique involves the
detection of individual body parts, namely the hand, head
and torso; and using these detection results to provide
additional inference on subsets of state parameters. This
method enables the automatic initialization of state vector
and allows recovering from tracking failures. These two
methods improve the overall accuracy, efficiency and
robustness of human body tracking as illustrated by the
experimental results.
|
 Additional Information
|
Citation:
Mun Wai Lee, Isaac Cohen,
"Human Body Tracking with Auxiliary Measurements,"
amfg,
p. 112,
IEEE International Workshop on Analysis and Modeling of Faces and Gestures,
2003
|
