Junzhe Wu

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Project

Visitor Detection

Brief Multiview Visual Detection System Details
  • Developed a combined system to detect and locate pedestrians and estimate their biological information. Implemented gesture control based on individual interactions.
  • Obtained 720P RGBD images with a 3-D TOF infrared camera.
  • Applied YOLO and a separate CNN model to identify pedestrians and guess their age and gender.
  • Used Leap Motion for tracking gestures in close interactions.
Technologies

OpenCV, Python, CNN

Lab

RoboVigor Robotics Lab

Year

2020