Real-time multiple object centroid tracking for gesture recognition based on FPGA
Jungdong Jin, Sangjun Lee, ByungMoo Jeon, Thuy Tuong Nguyen, Jae Wook Jeon · 2013
In this paper, we present the design and implementation of real-time multiple object centroid tracking for gesture recognition. Our multiple object tracking design consists of four stages: preprocessing, local intensity accumulation, object observation, and particle filter. We implemented the proposed hardware architecture using Verilog Hardware Description Language (HDL) on a Xilinx Virtex-5 LX330 field programmable gate array (FPGA). We focus on two main performances: the trajectory accuracy of moving objects and real-time processing. The performance of the proposed system was evaluated through several experiments. In addition, our processing speed was compared with the same algorithm based on software. Based on the results, we can guarantee that our multiple object tracking design is suitable for gesture recognition in cluttered environments.