Name
Title | ||
|---|---|---|
A novel low-power embedded object recognition system working at multi-frames per second (Extended abstract) |
Abstract | ||
|---|---|---|
One very important challenge in the field of multimedia is the implementation of fast and detailed Object Detection and Recognition systems. In particular, in the current state-of-the-art mobile multimedia systems, it is highly desirable to detect and locate certain objects within a video frame in real time. In this paper, we present a novel FPGA-based embedded implementation of a very efficient object recognition algorithm called Receptive Field Cooccurrence Histograms Algorithm(RFCH). Our main focus was to increase its performance so as to be able to handle the object recognition task of today's highly sophisticated embedded multimedia systems while keeping its energy consumption at very low levels. Our low-power embedded reconfigurable system is at least 15 times faster than the software implementation on a low-voltage high-end CPU, while consuming at least 60 times less energy. Our novel system is also 88 times more energy efficient than the recently introduced low-power multi-core Intel devices which are optimized for embedded systems. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/ESTIMedia.2012.6507033 | Embedded Systems for Real-time Multimedia |
Keywords | Field | DocType |
embedded systems,field programmable gate arrays,low-power electronics,multimedia systems,object detection,object recognition,power consumption,RFCH,embedded multimedia systems,energy consumption,low-power embedded object recognition system,low-power embedded reconfigurable system,multiframe per second,object detection systems,receptive field cooccurrence histogram algorithm,state-of-the-art mobile multimedia systems,video frame FPGA-based embedded implementation | Object detection,Histogram,Efficient energy use,Computer science,Field-programmable gate array,Real-time computing,Frame rate,Computer hardware,Energy consumption,Cognitive neuroscience of visual object recognition,Low-power electronics | Conference |
ISSN | ISBN | Citations |
2325-1271 | 978-1-4673-4966-6 | 0 |
PageRank | References | Authors |
0.34 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Antonis Nikitakis | 1 | 0 | 0.34 |
| Savvas Papaioannou | 2 | 6 | 3.55 |
| Ioannis Papaefstathiou | 3 | 0 | 0.34 |