This repository serves as the official code release of the paper "REMOT: A Hardware-Software Architecture for Attention-Guided Multi-Object Tracking with Dynamic Vision Sensors on FPGAs" (FPGA'22).
REMOT is a hardware/software architecture for Multi-Object Tracking using Dynamic Vision Sensors on FPGA. It's designed around the concept of an attention unit (AU). Each AU will only pay attention to a specific region of interest, which is designed to changed as the object moves. In REMOT, a layer...

This repository serves as the official code release of the paper "REMOT: A Hardware-Software Architecture for Attention-Guided Multi-Object Tracking with Dynamic Vision Sensors on FPGAs" (FPGA'22).
REMOT is a hardware/software architecture for Multi-Object Tracking using Dynamic Vision Sensors on FPGA. It's designed around the concept of an attention unit (AU). Each AU will only pay attention to a specific region of interest, which is designed to changed as the object moves. In REMOT, a layer...

This repository serves as the official code release of the paper "REMOT: A Hardware-Software Architecture for Attention-Guided Multi-Object Tracking with Dynamic Vision Sensors on FPGAs" (FPGA'22).
REMOT is a hardware/software architecture for Multi-Object Tracking using Dynamic Vision Sensors on FPGA. It's designed around the concept of an attention unit (AU). Each AU will only pay attention to a specific region of interest, which is designed to changed as the object moves. In REMOT, a layer...

The self-organizing map (SOM) is a neural network-based classification method with unsupervised learning (Kohonen, 1982). The excellent clustering ability of SOM is valuable because of its noise tolerance and nonlinearity characteristics. This repository provides several Matlab script files that utilize the SOM algorithm for spatiotemporal analysis.The spatiotemporal SOM analysis is applied to explore the spatiotemporal variability in water quality in Hong Kong marine water areas. SOMs are applied at both spatial and temporal domains for...

The self-organizing map (SOM) is a neural network-based classification method with unsupervised learning (Kohonen, 1982). The excellent clustering ability of SOM is valuable because of its noise tolerance and nonlinearity characteristics. This repository provides several Matlab script files that utilize the SOM algorithm for spatiotemporal analysis.The spatiotemporal SOM analysis is applied to explore the spatiotemporal variability in water quality in Hong Kong marine water areas. SOMs are applied at both spatial and temporal domains for...