Shape of Motion and the Perception of Human Gaits (1998)
| Venue: | IEEE Workshop on Empirical Evaluation Methods in Computer Vision, CVPR 98 |
| Citations: | 2 - 0 self |
BibTeX
@INPROCEEDINGS{Boyd98shapeof,
author = {Jeffrey E. Boyd and James J. Little},
title = {Shape of Motion and the Perception of Human Gaits},
booktitle = {IEEE Workshop on Empirical Evaluation Methods in Computer Vision, CVPR 98},
year = {1998}
}
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Abstract
Researchers in computer vision have recently demonstrated several systems that interpret motion and optical flow without using a model of kinematic structure. These non-structural methods usually integrate a field of motion into a more compact representation. In this paper, we present the design of an experiment to investigate the relationship between the non-structural shape-of-motion algorithm and human perception of gait. We take the features used by the algorithm, and use them to synthesize gait-like optical flow. A group of subjects then views the flow stimuli and records their perceptions. The motion stimuli are designed to differ in structure but have similar shape-of-motion. We wish to show that we can vary the structure of a stimulus without altering its perception, so long as we maintain the shape-of-motion. Pilot study results illustrate the experiment design. By performing this experiment to relate gait perception with gait synthesis, we are able to probe the computer visio...
