Title :
Controller free gaming and gesture recognition via H.264 SoC
Author :
Zhao, Wei ; Yuan, Xiaolong ; Batista, Raul ; Fan, Jeffrey
Author_Institution :
Dept. of Electr. & Comput. Eng., Florida Int. Univ., Miami, FL, USA
Abstract :
Current technologies in video encoding require real time solutions in motion gesture recognition for high definition video. Such needs will be a key determinant in the performance of hands-free video gaming consoles utilizing motion gesture recognition for interactive game play. Software solutions present higher costs due to increased bandwidth and increased processing speeds needed for high integrity video compression. We propose a hardware SoC solution to motion gesture recognition via modifications to motion estimation (ME) and motion vector (MV) modules of H.264 codec to reduce the associated overhead costs of real-time video processing.
Keywords :
computer games; digital signal processing chips; edge detection; gesture recognition; high definition video; motion estimation; system-on-chip; video coding; H.264 SoC; hands free video gaming console; high definition video; interactive game; motion estimation; motion gesture recognition; motion vector; real time video processing; system on a chip; video compression; video encoding; Bandwidth; Gesture recognition; Hardware; Image edge detection; Lighting; Streaming media; System-on-a-chip; Edge Detection; H.264; Laplacian Operator; System-on-a-Chip Design;
Conference_Titel :
Communications and Networking in China (CHINACOM), 2010 5th International ICST Conference on
Conference_Location :
Beijing
Print_ISBN :
973-963-9799-97-4
