Title
Neuromorphic real-time objects tracking using address event representation and silicon retina
Abstract
This paper presents a hierarchical neuromorphic system for tracking objects. We use AER (Address Event Representation) for transmitting and processing visual information provided by an asynchronous temporal contrast silicon retina. Two AER processing layers work in cascade for firstly detecting different objects, and secondly tracking them even with crossing trajectories. The output of the system offers not only the position of the tracked object but also the speed in pixels per second. The system is fully hardware implemented on FPGA (Spartan II 200), which is part of the USB-AER platform developed in part by authors. A 97.2% of the Spartan II is used for 128×128 pixels input resolution and 6 maximum objects recognition and tracking.
Year
DOI
Venue
2011
10.1007/978-3-642-21501-8_17
IWANN (1)
Keywords
Field
DocType
silicon retina,address event representation,tracked object,spartan ii,maximum objects recognition,asynchronous temporal contrast silicon,pixels input resolution,neuromorphic real-time object,hierarchical neuromorphic system,usb-aer platform,aer processing layer,different object
Asynchronous communication,Computer vision,Spartan,Computer science,Field-programmable gate array,Neuromorphic engineering,Video tracking,Cascade,Artificial intelligence,Pixel,Silicon retina
Conference
Volume
ISSN
Citations 
6691
0302-9743
1
PageRank 
References 
Authors
0.37
4
5
Name
Order
Citations
PageRank
F. Gomez-rodriguez132725.16
L. Miró-Amarante2101.28
M. Rivas361.25
G. Jimenez4597.43
F. Diaz-del-Rio5121.09