A High-Speed Vision System for Moment-Based Analysis of Numerous Objects

Abstract

We describe a high-speed vision system for real-time applications, which is capable of processing visual information at a frame rate of 1 kfps, including both imaging and processing. Our system performs moment-based analysis of numerous objects. Moments are useful values providing information about geometric features and invariant features with respect to image-plane transformations. In addition, the simultaneous observation of numerous objects allows recognition of various complex phenomena. The proposed system achieves high-speed image processing by providing a dedicated massively parallel co-processor for moment extraction. The co-processor has a high-performance core based on a pixel-parallel and object-parallel calculation method. We constructed a prototype system and evaluated its performance. We present results obtained in actual operation.