@article{ref1,
title="Human posture recognition for intelligent vehicles",
journal="Journal of real-time image processing",
year="2010",
author="WachsMathias, Juan P. and Kölsch, Mathias and Goshorn, Deborah",
volume="5",
number="4",
pages="231-244",
abstract="Pedestrian detection systems are finding their way into many modern &quot;intelligent&quot; vehicles. The body posture could reveal further insight about the pedestrian's intent and her awareness of the oncoming car. This article details the algorithms and implementation of a library for real-time body posture recognition. It requires prior person detection and then calculates overall stance, torso orientation in four increments, and head location and orientation, all based on individual frames. A syntactic post-processing module takes temporal information into account and smoothes the results over time while correcting improbable configurations. We show accuracy and timing measurements for the library and its utilization in a training application.<p />",
language="",
issn="1861-8200",
doi="10.1007/s11554-010-0150-0",
url="http://dx.doi.org/10.1007/s11554-010-0150-0"
}