Analyzing Pedestrians´ Walking Patterns Using Single-Row Laser Range Scanners

We propose a novel system for analyzing pedestrians´ walking patterns by exploiting single-row laser range scanners that measure distances of surrounding objects by reflecting eye-safe laser beams. A walking model is built in the spatial-temporal domain to describe the periodicity of the movement of the feet, and a mean-shift technique is applied to recover model parameters. Compared with camera-based methods, our system provides a novel technique to analyze the behavior of pedestrians. The experiments show the validity of the algorithm.