Neuromorphic vision datasets for pedestrian detection, action recognition, and fall detection

Shu Miao; Guang Chen; Xiangyu Ning; Yang Zi; Kejia Ren; Zhenshan Bing; Alois Knoll

doi:10.3389/fnbot.2019.00038

Neuromorphic vision datasets for pedestrian detection, action recognition, and fall detection

Shu Miao
, Guang Chen
, Xiangyu Ning
, Yang Zi
, Kejia Ren
, Zhenshan Bing
, Alois Knoll

Informatics 6 - Chair of Robotics, Artificial Intelligence and Real-time Systems

Research output: Contribution to journal › Article › peer-review

83 Scopus citations

Original language	English
Article number	38
Journal	Frontiers in Neurorobotics
Volume	13
DOIs	https://doi.org/10.3389/fnbot.2019.00038
State	Published - 2019

Keywords

Action recognition
Dataset
Dynamic vision sensor
Fall detection
Pedestrian detection

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10.3389/fnbot.2019.00038

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@article{0274e3377fc4492eafce9ebe92dddb5d,

title = "Neuromorphic vision datasets for pedestrian detection, action recognition, and fall detection",

keywords = "Action recognition, Dataset, Dynamic vision sensor, Fall detection, Pedestrian detection",

author = "Shu Miao and Guang Chen and Xiangyu Ning and Yang Zi and Kejia Ren and Zhenshan Bing and Alois Knoll",

note = "Funding Information: This work was financially supported by the German Research Foundation (DFG) and the Technical University of Munich (TUM) in the framework of the Open Access Publishing Program. The research leading to these results has partially received funding from the European Union{\textquoteright}s Horizon 2020 Research and Innovation Program in accordance with Grant Agreement No. 785907 (HBP SGA2), from the Shanghai Automotive Industry Sci-Tech Development Program according to Grant Agreement No. 1838, and from the Fundamental Research Funds for the Central Universities.",

year = "2019",

doi = "10.3389/fnbot.2019.00038",

language = "English",

volume = "13",

journal = "Frontiers in Neurorobotics",

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publisher = "Frontiers Media SA",

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TY - JOUR

T1 - Neuromorphic vision datasets for pedestrian detection, action recognition, and fall detection

AU - Miao, Shu

AU - Chen, Guang

AU - Ning, Xiangyu

AU - Zi, Yang

AU - Ren, Kejia

AU - Bing, Zhenshan

AU - Knoll, Alois

N1 - Funding Information: This work was financially supported by the German Research Foundation (DFG) and the Technical University of Munich (TUM) in the framework of the Open Access Publishing Program. The research leading to these results has partially received funding from the European Union’s Horizon 2020 Research and Innovation Program in accordance with Grant Agreement No. 785907 (HBP SGA2), from the Shanghai Automotive Industry Sci-Tech Development Program according to Grant Agreement No. 1838, and from the Fundamental Research Funds for the Central Universities.

PY - 2019

Y1 - 2019

KW - Action recognition

KW - Dataset

KW - Dynamic vision sensor

KW - Fall detection

KW - Pedestrian detection

UR - https://www.scopus.com/pages/publications/85068597527

U2 - 10.3389/fnbot.2019.00038

DO - 10.3389/fnbot.2019.00038

M3 - Article

AN - SCOPUS:85068597527

SN - 1662-5218

VL - 13

JO - Frontiers in Neurorobotics

JF - Frontiers in Neurorobotics

M1 - 38

ER -

Neuromorphic vision datasets for pedestrian detection, action recognition, and fall detection

Keywords

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