Name
Abstract | ||
|---|---|---|
This paper describes a high-frame-rate (HFR) vision system that can extract locations and features of multiple objects in an image at 2000 f/s for 512$\,\times\,$512 images by implementing a cell-based multiobject feature extraction algorithm as hardware logic on a field-programmable gate array-based high-speed vision platform. In the hardware implementation of the algorithm, 25 higher-order local autocorrelation features of 1024 objects in an image can be simultaneously extracted for multiobject recognition by dividing the image into 8$\,\times\,$8 cells concurrently with calculation of the zeroth and first-order moments to obtain the sizes and locations of multiple objects. Our developed HFR multiobject extraction system was verified by performing several experiments: tracking for multiple objects rotating at 16 r/s, recognition for multiple patterns projected at 1000 f/s, and recognition for human gestures with quick finger motion. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/TCSVT.2012.2202195 | IEEE Transactions on Circuits and Systems for Video Technology |
Keywords | Field | DocType |
field programmable gate arrays,object recognition,feature extraction | Computer vision,Division (mathematics),Pattern recognition,Machine vision,Computer science,Gesture,Field-programmable gate array,Feature extraction,Gate array,Artificial intelligence,Cognitive neuroscience of visual object recognition,Autocorrelation | Journal |
Volume | Issue | ISSN |
23 | 1 | 1051-8215 |
Citations | PageRank | References |
20 | 1.01 | 34 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Qingyi Gu | 1 | 153 | 22.13 |
| Takeshi Takaki | 2 | 222 | 38.04 |
| Idaku Ishii | 3 | 355 | 64.37 |