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Proceedings Paper

2000 fps real-time target tracking vision system based on color histogram
Author(s): Idaku Ishii; Tetsuro Tatebe; Qingyi Gu; Takeshi Takaki
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Paper Abstract

In this study, we develop a high-speed color-histogram-based tracking system that can be applied to 512x511 pixel images at 2000~fps using the hardware implementation of an improved CamShift algorithm. In the improved algorithm, the size, position, and orientation of an object to be tracked can be extracted using only the hardware implementation of color conversion and the moment feature calculation of 16 binary images quantized by color bins on a high-speed vision platform. We demonstrate its effectiveness by presenting several target tracking results at 2000~fps when color-patterned objects move rapidly under complicated backgrounds.

Paper Details

Date Published: 2 February 2011
PDF: 8 pages
Proc. SPIE 7871, Real-Time Image and Video Processing 2011, 787103 (2 February 2011); doi: 10.1117/12.871936
Show Author Affiliations
Idaku Ishii, Hiroshima Univ. (Japan)
Tetsuro Tatebe, Hiroshima Univ. (Japan)
Qingyi Gu, Hiroshima Univ. (Japan)
Takeshi Takaki, Hiroshima Univ. (Japan)


Published in SPIE Proceedings Vol. 7871:
Real-Time Image and Video Processing 2011
Nasser Kehtarnavaz; Matthias F. Carlsohn, Editor(s)

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