Video Processing and Understanding Lab
Universidad Autónoma de Madrid, Escuela Politécnica Superior

TEC2017-88169-R MobiNetVideo (2018-2020-2021)
Visual Analysis for Practical Deployment of Cooperative Mobile Camera Networks

MobiNetVideo_logo
Supported by the
Ministerio de Economía, Industria y Competividad
of the Spanish Goverment
Workshops and Seminars


MobiNetVideo Industry Day

June 24th, 2021

On-line Session

Objective:

The objective of this workshop is to present the demos and applications under development by the Video Processing and Understanding Lab from Universidad Autónoma de Madrid within the MobiNetVideo project (http://www-vpu.eps.uam.es/projects/MobiNetVideo/).

Preliminary Program

10:45 Welcome
11:00 Introduction
11:05 Continual learning for object detection (Carlos Jimenez, Álvaro García)
11:20 Places detection in ego-centric video (Daniel de Alcalá, Marcos Escudero)
11:35 Contributions to the re-identification of objects (Marta Fernández, Paula Moral, Álvaro García)
11:50 Multi-Object Tracking and Applications (Jorge Muñoz, Juan Carlos San Miguel)
12:05 Real-time camera operation and tracking for the streaming of teaching activities (Javier Viñuela, Jesús Bescós)
12:20 Computer Vision Applications for Event Cameras (F. Javier Martín, Pablo Carballeira)
12:35 Discussion: Suggestions for enhancements and new applications
13:00 Closing

Registration:

Send an e-mail to josem_dot_martinez_at_uam_dot_es with subject “MobiNetVideo Industry Day” indicating name, affiliation and if you will attend physically or online.

Industry participation:

  • Pilar Pérez Hernández, Capgemini
  • Sergio Ramírez, Thales Aelnia Space
  • Esther González, Nokia Bell Labs Madrid
  • Víctor Fernández-Cabajales Cañete, Treelogic
  • Sergio Serra Sánchez, Vaelsys
  • Álvaro Villegas, Nokia Bell Labs Madrid
  • Ana Pérez Fernández, Vaelsys
  • Fulgencio Navarro, Dive Tech
  • Erik Velasco, Dive Tech
  • Jorge Villaverde, Capgemini

Video of the session (in Spanish) is available under demand.


Last update 24/06/2021
Universidad Autónoma de Madrid, Escuela Politécnica Superior
Video Processing and Understanding Lab