Lee, Robert

Project title: Data Mining Algorithms Implementation for Human Detection Application

Department: Electrical and Computer Engineering

Faculty supervisor: Dr. Kin Fun Li

"In many of today’s leading-edge computer vision research areas, the speed and resilience of object detection is vital to the system’s performance. Often, real-time processing may be necessary. However, due to its inherent computational complexity, it is difficult for purely software-based systems to meet real-time requirements. In this project, an FPGA-based implementation of object detection system, using a to-be-chosen data mining algorithm, and its corresponding potentials for parallelism, low power, and reconfigurability are investigated."