A hierarchical autoencoder learning model for path prediction and abnormality detection

^*Corresponding author for this work

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

Original language	English
Pages (from-to)	216-224
Number of pages	9
Journal	Pattern Recognition Letters
Volume	130
DOIs	https://doi.org/10.1016/j.patrec.2019.06.030
Publication status	Published - Feb 2020

Keywords

@article{9bc47abc283d47c29db20889af08366a,

title = "A hierarchical autoencoder learning model for path prediction and abnormality detection",

keywords = "Motion features, Autoencoder, Hierarchical learning, Behavior understanding, Abnormality detection, Path prediction",

author = "Dario Dotti and Mirela Popa and Stylianos Asteriadis",

year = "2020",

month = feb,

doi = "10.1016/j.patrec.2019.06.030",

language = "English",

volume = "130",

pages = "216--224",

journal = "Pattern Recognition Letters",

issn = "0167-8655",

publisher = "Elsevier",

}

TY - JOUR

T1 - A hierarchical autoencoder learning model for path prediction and abnormality detection

AU - Dotti, Dario

AU - Popa, Mirela

AU - Asteriadis, Stylianos

PY - 2020/2

Y1 - 2020/2

KW - Motion features

KW - Autoencoder

KW - Hierarchical learning

KW - Behavior understanding

KW - Abnormality detection

KW - Path prediction

U2 - 10.1016/j.patrec.2019.06.030

DO - 10.1016/j.patrec.2019.06.030

M3 - Article

VL - 130

SP - 216

EP - 224

JO - Pattern Recognition Letters

JF - Pattern Recognition Letters

SN - 0167-8655

ER -