Ehsan worked on Three-Dimensional Human Tracking using a Time-of-Flight depth sensor. The focus of this research was on real-time 3D detection and tracking of multiple human objects in cluttered environments based on a state of the art range segmentation algorithm. The applications of this research include, but not limited to, automotive and traffic safety, driver assistance, pedestrian tracking, human computer interaction, gesture recognition, security and video surveillance, etc.
Education
| 2006-2008 | Master of Applied Science in Electrical Engineering University of Windsor, Windsor, ON, Canada |
| 1998-2003 | Bachelor of Applied Science in Electrical Engineering University of Tehran, Tehran, Iran |
Research Areas
- Computer Vision
- Artificial Intelligence
- Machine Learning
- Object Tracking (3D/2D)
- Human Detection
- Depth Segmentation
Publications
- Ehsan Parvizi, Q.M. Jonathan Wu, "Real-Time 3D Head Tracking Based on Time-of-Flight Depth Sensor", in Proceedings of 19th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2007), October 29-31, 2007, Patras, Greece, Vol. 1, pp. 517-521.