research
∙
09/02/2020
e-TLD: Event-based Framework for Dynamic Object Tracking
This paper presents a long-term object tracking framework with a moving ...
share
research
∙
07/21/2020
A Hybrid Neuromorphic Object Tracking and Classification Framework for Real-time Systems
Deep learning inference that needs to largely take place on the 'edge' i...
research
∙
05/31/2020
EBBINNOT: A Hardware Efficient Hybrid Event-Frame Tracker for Stationary Neuromorphic Vision Sensors
In this paper, we present a hybrid event-frame approach for detecting an...
research
∙
03/19/2020
HyNNA: Improved Performance for Neuromorphic Vision Sensor based Surveillance using Hybrid Neural Network Architecture
Applications in the Internet of Video Things (IoVT) domain have very tig...
research
∙
10/22/2019
A low-power end-to-end hybrid neuromorphic framework for surveillance applications
With the success of deep learning, object recognition systems that can b...
research
∙
04/24/2019