Dynamic object detection using posture data

Abstract

Described herein is a system for improving dynamic object detection by including posture data. For example, the system may build an occupancy map representing objects present in an environment while tracking dynamic objects that should not be included in the occupancy map (e.g., people, pets, or other mobile objects). The system may classify a user as a dynamic object based on a posture indicated by Visual Perception (VP) data. For example, the VP data may distinguish between first postures (e.g., standing, walking, etc.) and second postures (e.g., sitting, laying down, etc.). Thus, the system can classify users associated with the first postures as dynamic objects to be removed from the occupancy map, while including users associated with the second postures in the occupancy map. Thus, the device removes humans from the occupancy map without removing furniture.