The article of record as published may be found at http://dx.doi.org/10.1007/s11554-010-0150-0Pedestrian detection systems are finding their
way into many modern ‘‘intelligent’’ 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.Office of Naval Researc
