The brain mimicking Visual Attention Engine: An 80×60 digital Cellular Neural Network for rapid global feature extraction
Authors:
- 1 June 2008
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- No. 21585601,p. 26-27
Abstract
The visual attention engine (VAE), an 80 times 60 digital cellular neural network, rapidly extracts global features used as attentional cues to streamline detailed object recognition. A peak performance of 24 GOPS is achieved by 120 processing elements (PE) shared by the cells. 2D shift register based data transactions enable 93% PE utilization. Integrated within an object recognition SoC, the 4.5 mm 2 VAE running at 200 MHz improves object recognition frame rate by 83% while consuming just 84 mW.Keywords
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