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Neuromorphic Real-Time Objects Tracking Using Address Event Representation and Silicon Retina [Presentation]
(Springer, 2011)
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 ...
Approaching Retinal Ganglion Cell Modeling and FPGA Implementation for Robotics [Article]
(MDPI, 2018)
Taking inspiration from biology to solve engineering problems using the organizing principles of biological neural computation is the aim of the field of neuromorphic engineering. This field has demonstrated success in ...
Inter-spike-intervals analysis of AER Poisson-like generator hardware [Article]
(Elsevier, 2007)
Address–Event–Representation (AER) is a communication protocol for transferring images between chips, originally developed for bio-inspired image-processing systems. Such systems may consist of a complicated hierarchical ...
A PCI AER Co-Processor Evaluation Based on CPUs Performance Counters [Article]
(JIT Editorial Office, Library and Information Center, National Dong Hwa University, 2012)
Image processing in digital computer systems usually considers the visual information as a sequence of frames. These frames are from cameras that capture reality for a short period of time. They are renewed and transmitted ...
An AER to CAN Bridge for Spike-Based Robot Control [Presentation]
(Springer, 2011)
Address-Event-Representation (AER) is a bio-inspired communication protocol between chips. A set of AER sensors (retina and cochleas), processors (convolvers, WTA, mappers, …) and actuators can be found in the literature ...
An AER Spike-Processing Filter Simulator and Automatic VHDL Generator Based on Cellular Automata [Presentation]
(Springer, 2011)
Spike-based systems are neuro-inspired circuits implementations traditionally used for sensory systems or sensor signal processing. Address-Event- Representation (AER) is a neuromorphic communication protocol for ...
An Approach to Distance Estimation with Stereo Vision Using Address-Event-Representation [Presentation]
(Springer, 2011)
Image processing in digital computer systems usually considers the visual information as a sequence of frames. These frames are from cameras that capture reality for a short period of time. They are renewed and transmitted ...
Efficient DMA transfers management on embedded Linux PSoC for Deep-Learning gestures recognition: Using Dynamic Vision Sensor and NullHop one-layer CNN accelerator to play RoShamBo [Presentation]
(ACM Digital Library, 2019)
This demonstration shows a Dynamic Vision Sensor able to capture visual motion at a speed equivalent to a highspeed camera (20k fps). The collected visual information is presented as normalized histogram to a CNN ...
Event-based Row-by-Row Multi-convolution engine for Dynamic-Vision Feature Extraction on FPGA [Presentation]
(IEEE Computer Society, 2018)
Neural networks algorithms are commonly used to recognize patterns from different data sources such as audio or vision. In image recognition, Convolutional Neural Networks are one of the most effective techniques due ...
Real-time neuro-inspired sound source localization and tracking architecture applied to a robotic platform [Article]
(Elsevier, 2018)
This paper proposes a real-time sound source localization and tracking architecture based on the abilityof the mammalian auditory system using the interaural intensity difference. We used an innovative bin- aural Neuromorphic ...