Abstract:

Based on the analysis of the characteristics of skin color information and hand motion properties, a gesture segmentation and tracking algorithm on account of the color set, the motion set and the vague gesture set is constructed and realized on hardware. With this algorithm, the skin color set is established in color space while the motion set in video flow space. And through blurring operation joining tracking algorithm and the background realtime updating to overcome the interference of complex background and light factors, the vague gesture set is obtained. The whole algorithm is implemented on the field programmable gate array (FPGA), realizing gesture real-time segmentation and tracking using streamlining and parallel processing technology. The experimental result shows that this method has good accuracy, timeliness and robustness. On a 100 MHz system clock, the speed of processing an image of 640×480 resolution can be as fast as 100 frames / second.

Key words: gesture segmentation; FPGA(field programmable gate array); real-time; fuzzy processing