Spiking Neural Network based Region Proposal Networks for Neuromorphic Vision Sensors

02/26/2019
by   Jyotibdha Acharya, et al.
0

This paper presents a three layer spiking neural network based region proposal network operating on data generated by neuromorphic vision sensors. The proposed architecture consists of refractory, convolution and clustering layers designed with bio-realistic leaky integrate and fire (LIF) neurons and synapses. The proposed algorithm is tested on traffic scene recordings from a DAVIS sensor setup. The performance of the region proposal network has been compared with event based mean shift algorithm and is found to be far superior ( 50 complexity of the proposed method are also shown to be similar to that of event based mean shift

READ FULL TEXT

Please sign up or login with your details

Forgot password? Click here to reset