Real-time Image Recognition using HLAC Features at 1000 fps

摘要：

Real-time image recognition at 1000 fps is realized by implementing a parallel processing circuit module to calculate higher-order local auto-correlation (HLAC) features on a high-speed vision platform. The circuit module is compactly designed in order to decrease the number of multiplications required in the HLAC calculation. The circuit module is integrated on a user-specific FPGA of the high-speed vision platform. The high-speed vision platform, on which the HLAC circuit module is hardware-implemented, can extract 25 HLAC features at 1000 fps from 1024 × 1024 pixel images, which include 0th, 1st, and 2nd order HLAC features. In the experimental results, projected images switching at frame rates as high as 250 fps are recognized by using HLAC features extracted at 1000 fps on the high-speed vision platform.

作者: Idaku Ishii Ryo Sukenobe Kenkichi Yamamoto Takeshi Takaki

作者单位: Hiroshima Univer sity,Hiroshima 739-8527,Japan

会议类型: 国际会议

会议名称: 2009 IEEE International Conference on Robotics and Biomimetics(2009 IEEE 机器人与仿生技术国际会议 ROBIO 2009)

会议地点: 桂林

会议语种:英文

页码: 954-959

在线出版日期: 2009-12-19（万方平台首次上网日期，不代表论文的发表时间）