Project Duration: 2021.09 - present
In this project, we use human pose estimation algorithms and target detection algorithms to implement a people monitoring and management system for campus, including the main functions like people motion recognition, intruder recognition, and abnormal situation recognition (e.g., crowding, fighting, and climbing over walls). The system is deployed for use in campus surveillance systems.
Due to the privacy problem and the limited permission, only some of the project’s demos are shown here.