Name
Abstract | ||
|---|---|---|
This paper presents a vision system to be embedded in a mobile robot, both of them implemented using recon- figurable computing technology. The vision system captures gestures by means of a digital color camera, and then performs some pre-processing steps in order to use the image as input to a RAM-based neural network. The set of recognized gestures can be defined using the system on-chip training capabilities. All the above functionality has been implemented in a single FPGA chip. Experimental results have shown the system to be robust, with enough performance to meet real-time constraints (30 fps), and also high efficiency in the recognition process (true recognition rate of 99.57%). |
Year | Venue | Keywords |
|---|---|---|
2004 | ICINCO | robotics,vision system,ram-based neural network.,fpga,gesture recognition,soc,real time,mobile robot,neural network,system on chip,chip |
Field | DocType | Citations |
Computer vision,Machine vision,Gesture,Gesture recognition,Artificial intelligence,Engineering,Artificial neural network,Mobile robot,Fpga chip,Reconfigurable computing | Conference | 11 |
PageRank | References | Authors |
0.91 | 9 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Vanderlei Bonato | 1 | 145 | 17.19 |
| Adriano K. Sanches | 2 | 11 | 0.91 |
| Marcio M. Fernandes | 3 | 17 | 2.45 |
| João M. P. Cardoso | 4 | 462 | 57.24 |
| EDUARDO D. V. SIMÕES | 5 | 18 | 1.42 |
| Eduardo Marques | 6 | 112 | 16.31 |