Simple gait parameterization and 3D animation for anonymous visual monitoring based on augmented reality
The article presents a method for video anonymization and replacing real human silhouettes with virtual 3D figures rendered on a screen. Video stream is processed to detect and to track objects, whereas anonymization stage employs animating avatars accordingly to behavior of detected persons. Location, movement speed, direction, and person height are taken into account during animation and rendering phases. This approach requires a calibrated camera, and utilizes results of visual object tracking. A procedure for transforming objects visual features and bounding boxes into gait parameters for animated figures is presented. Conclusions and future work perspectives are provided.
Piotr Szczuko. (2016). Simple gait parameterization and 3D animation for anonymous visual monitoring based on augmented reality, 75(17), 1-21. https://doi.org/10.1007/s11042-015-2874-0
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LicencjaCopyright (Springer Science+Business Media New York 2015)
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