Vehicles and Pedestrians Detection [Research]

Screenshot of our prototype system

Detection and Description of Visual Attributes for Vehicles and Pedestrian

Programming Language:

  • C++
  • SQL

In this project, we designed and implemented a system to detect and track vehicles and pedestrains from traffic surveillance videos. Once a vehicle/pedestrain is detected/tracked, some visual descriptions, e.g. color, moving direction, etc., are analyzed. All information are stored into a local SQL database for retrieval in the future.

My responsibilities:

  1. Proposed and implemented a detection system for vehicles.
  2. Implemeted a tracking function.
  3. Extract visual descriptions from detected vehicles.
  4. Implemented objects retrieval functions.

The following video shows a demo of our system.

Xin Li
Xin Li
Senior Machine Learning Engineer

My research interests include Deep Learning, Computer Vision, and Autonomous Driving.