Name
Abstract | ||
|---|---|---|
Video and image content has begun to play a growing role in many applications, ranging from video games to autonomous self-driving vehicles. In this paper, we present accelerators for gist-based scene recognition, saliency-based attention, and HMAX-based object recognition that have multiple uses and are based on the current understanding of the vision systems found in the visual cortex of the mammalian brain. By integrating them into a two-level hierarchical system, we improve recognition accuracy and reduce computational time. Results of our accelerator prototype on a multi-FPGA system show real-time performance and high recognition accuracy with large speedups over existing CPU, GPU and FPGA implementations. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1145/2463209.2488900 | DAC |
Keywords | Field | DocType |
recognition accuracy,video signal processing,computational time reduction,image content,gpu,visual attention,biologically-inspired recognition,saliency-based attention,fpga prototyping,graphics processing units,hmax-based object recognition,fpga implementation,video games,accelerator prototype,gist-based scene recognition,video content,biologically-inspired attention,mammalian brain visual cortex,autonomous self-driving vehicles,vision system,object and scene recognition,two-level hierarchical system,object recognition,computer vision,brain,real-time performance,hardware acceleration,cpu,multi-fpga system,field programmable gate arrays,video game,high recognition accuracy,vision systems,biomedical electronics,multifpga system,medical image processing | Hierarchical control system,Computer vision,3D single-object recognition,Salience (neuroscience),Computer science,FPGA prototype,Field-programmable gate array,Video tracking,Artificial intelligence,Hardware acceleration,Cognitive neuroscience of visual object recognition | Conference |
ISSN | Citations | PageRank |
0738-100X | 4 | 0.45 |
References | Authors | |
14 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mi Sun Park | 1 | 34 | 2.92 |
| Chuanjun Zhang | 2 | 475 | 24.88 |
| Michael Debole | 3 | 124 | 9.87 |
| Srinidhi Kestur | 4 | 137 | 9.47 |