NDLI: Spatio-Temporal Generative Adversarial Networks

Content Provider	IET Digital Library
Author	N, Chao Q I O, Xiaoguang G A
Abstract	We designed a spatiotemporal generative adversarial network which given some initial data and random noise, generates a consecutive sequence of spatiotemporal samples that have a logical relationship. We build spatial discriminators and temporal discriminators to distinguish whether the samples generated by the generator meet the requirements for time and space coherence. The model is trained on the skeletal dataset and the Caltrans Performance Measurement System District 7 dataset. In contrast to traditional Generative adversarial networks (GANs), the proposed spatiotemporal GAN can generate logically coherent samples with the corresponding spatial and temporal features while avoiding mode collapse. In addition, we show that our model can generate different styles of spatiotemporal samples given different random noise inputs. This model will extend the potential range of applications of GANs to areas such as traffic information simulations and multiagent adversarial simulations.
Starting Page	623
Ending Page	631
Page Count	9
ISSN	10224653
Volume Number	29
e-ISSN	20755597
Issue Number	Issue 4, Jul (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/cje/29/4
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/cje.2020.04.001
Journal	Chinese Journal of Electronics
Publisher Date	2020-07-01
Access Restriction	Open
Rights Holder	© Chinese Institute of Electronics
Subject Keyword	Caltrans Performance Measurement System District 7 Dataset Computer Vision And Image Processing Technique Different Random Noise Input Feature Extraction Knowledge Engineering Technique Logically Coherent Sample Multi-agent System Neural Nets Optical, Image And Video Signal Processing Rail Traffic Random Noise Road Traffic Spatial Discriminators Spatio-temporal Generative Adversarial Network Spatiotemporal GAN Spatiotemporal Generative Adversarial Network Spatiotemporal Phenomena Spatiotemporal Sample Statistics Temporal Discriminators Traditional Generative Adversarial Network Traffic Engineering Computing Traffic Information System Video Signal Processing
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics Electrical and Electronic Engineering

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