TY - JOUR PY - 2010// TI - Human posture recognition for intelligent vehicles JO - Journal of real-time image processing A1 - WachsMathias, Juan P. A1 - Kölsch, Mathias A1 - Goshorn, Deborah SP - 231 EP - 244 VL - 5 IS - 4 N2 - Pedestrian 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.
LA - SN - 1861-8200 UR - http://dx.doi.org/10.1007/s11554-010-0150-0 ID - ref1 ER -