Title :
A High-Speed Vision System for Moment-Based Analysis of Numerous Objects
Author :
Watanabe, Yoshihiro ; Komuro, Takashi ; Ishikawa, Masatoshi
Author_Institution :
Tokyo Univ., Tokyo
fDate :
Sept. 16 2007-Oct. 19 2007
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.
Keywords :
coprocessors; feature extraction; image recognition; object recognition; parallel processing; geometric features; high-speed image processing; high-speed vision system; image-plane transformations; invariant features; massively parallel co-processor; moment extraction; moment-based analysis; object recognition; object-parallel calculation method; pixel-parallel calculation method; visual information processing; Coprocessors; Data mining; Image converters; Image processing; Information analysis; Machine vision; Performance analysis; Real time systems; Sensor arrays; Throughput; High-frame-rate imaging; Massively parallel processor; Moment; Real-time image processing; Vision system;
Conference_Titel :
Image Processing, 2007. ICIP 2007. IEEE International Conference on
Conference_Location :
San Antonio, TX
Print_ISBN :
978-1-4244-1437-6
Electronic_ISBN :
1522-4880
DOI :
10.1109/ICIP.2007.4379794