FPGA Based visual object tracking

Abstract

In Contemporary technological world, high speed computers and economical and low cost video cameras are easily accessible. Therefore, a great interest has been placed in the field of object tracking due to the requirement of analyzing the automated videos. In visual object tracking the target of interest is tracked in consecutive video frames. It has enormous applications in security and surveillance systems, medical imaging, robotics, and traffic control. The current thesis illustrates the implementation of visual object tracking algorithms on Field programmable gate arrays (FPGA). FPGAs are the most proficient, high speed and inexpensive devices, provides fast execution of IP algorithms which is not achievable with the serial microcontrollers. Verilog Spartan 3E board is used to execute the project logic and the visual object tracking algorithms.