Event-based Action Recognition Using Timestamp Image Encoding Network

09/28/2020
by   Chaoxing Huang, et al.
0

Event camera is an asynchronous, high frequency vision sensor with low power consumption, which is suitable for human action recognition task. It is vital to encode the spatial-temporal information of event data properly and use standard computer vision tool to learn from the data. In this work, we propose a timestamp image encoding 2D network, which takes the encoded spatial-temporal images of the event data as input and output the action label. Experiment results show that our method can achieve the same level of performance as those RGB-based benchmarks on real world action recognition, and also achieve the SOTA result on gesture recognition.

READ FULL TEXT

page 2

page 4

research
04/12/2021

Event-based Timestamp Image Encoding Network for Human Action Recognition and Anticipation

Event camera is an asynchronous, high frequency vision sensor with low p...
research
08/25/2023

EventTransAct: A video transformer-based framework for Event-camera based action recognition

Recognizing and comprehending human actions and gestures is a crucial pe...
research
10/18/2020

Temporal Binary Representation for Event-Based Action Recognition

In this paper we present an event aggregation strategy to convert the ou...
research
10/21/2016

Review of Action Recognition and Detection Methods

In computer vision, action recognition refers to the act of classifying ...
research
03/17/2019

Spatiotemporal Filtering for Event-Based Action Recognition

In this paper, we address the challenging problem of action recognition,...
research
10/08/2019

Graph-based Spatial-temporal Feature Learning for Neuromorphic Vision Sensing

Neuromorphic vision sensing (NVS) allows for significantly higher event ...
research
09/04/2023

High Frequency, High Accuracy Pointing onboard Nanosats using Neuromorphic Event Sensing and Piezoelectric Actuation

As satellites become smaller, the ability to maintain stable pointing de...

Please sign up or login with your details

Forgot password? Click here to reset