D L A M 2019
Deep Learning for Activity Monitoring

Taipei, Taiwan, September 21 st 2019

in conjunction with the 16th IEEE International Conference on Advanced Video and Signal-based Surveillance (AVSS) 2019
The Main Conference (and the Workshop) will be organized back-to-back with the IEEE International Conference on Image Processing (ICIP) 2019, which is also held in Taipei from 9/22 to 9/25. Attendants will be able to conveniently attend two leading computer vision/image processing conferences and their workshops in a single trip to Taiwan!

Scope

In last decade, Deep Learning has become the most used approach to any computer vision problem; on the other hand, there has been a growing diffusion of many different kind of sensing device (static and mobile) for environmental monitoring and surveillance purposes.
The focus of the Workshop is on the application of Deep Learning approaches to the activity recognition, with special attention to real applications in real contexts.
We encourage researchers to formulate innovative feature representations, learning methodologies, and end-to-end vision systems based on deep learning. Aim of this workshop is to bring together researchers from different communities (such as Computer Vision, networked embedded sensing, artificial intelligence and so on) which address both the main topics of Deep Learning and Activity Recognition.

Dates

Submission deadline: July 06th July 14th 2019

Paper acceptance notification: July 31st 2019

Camera ready: August 7th 2019

Topics

Single and multiple object tracking
Re-identification
Human behavior analysis
Deep Learning in embedded systems
Deep Learning for crowd analysis
Individual activity detection and recognition
Multi-agent/multi sensing activity detection and recognition
Scene understanding
Sensor calibration
Event detection
Real time applications
Advancements in deep learning

Organizer

Rama Chellappa

University of Maryland, College Park

Pier Luigi Mazzeo

National Research Council – Italy

Paolo Spagnolo

National Research Council – Italy

Lei Zhang

Microsoft AI & Research

TPC

George Bebis - University of Nevada (USA)

Simone Calderara - University of Modena and Reggio Emilia (Italy)

Cosimo Distante - ISASI CNR (Italy)

Dawei Du - University at Albany (USA)

Antonio Greco – University of Salerno (Italy)

Liliana Lo Presti - University of Palermo (Italy)

Amy Loutfi - Örebro University (Sweden)

Vishal Patel – Johns Hopkins University (USA)

Federico Pernici - University of Florence (Italy)

Alessia Saggese - University of Salerno (Italy)

Wei-Shi Zheng - Sun Yat-Sen University (China)