Deep learning for pedestrian collective behavior analysis in smart cities: A model of group trajectory outlier detection

Title
Deep learning for pedestrian collective behavior analysis in smart cities: A model of group trajectory outlier detection
Authors
Keywords
Human behaviors, Deep learning, Data mining, Analysis, Smart cities
Journal
Information Fusion
Volume -, Issue -, Pages -
Publisher
Elsevier BV
Online
2020-08-08
DOI
10.1016/j.inffus.2020.08.003

Ask authors/readers for more resources

Reprint

Contact the author

Find the ideal target journal for your manuscript

Explore over 38,000 international journals covering a vast array of academic fields.

Search

Add your recorded webinar

Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.

Upload Now