[visionlist] CFP: DLAM Workshop on Deep Learning for Activity Monitoring

Paolo Spagnolo paolo.spagnolo at cnr.it
Tue May 28 05:03:58 -04 2019

1st International Workshop in *Deep Learning for Activity Monitoring* 
(DLAM 2019)

Taipei - TAIWAN, September 21st 2019

In conjunction with (*AVSS 2019*) - 16th IEEE International Conference 
on Advanced Video and Signal-based Surveillance

Workshop Website: http://dlam2019.isasi.cnr.it/home/

Note: 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!


_Submission deadline: __*July 6th*__2019_
Paper acceptance notification: July 14th 2019
Camera ready: July 29th 2019


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.

- 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

_Note that accepted papers will be published in the Main Conference 
Please visit our Workshop website http://dlam2019.isasi.cnr.it/home/ for 
information about DLAM 2019, while more details about the Main 
Conference can be found at http://avss2019.org/


*Jeff Alstott – IARPA *

Dr. Jeff Alstott is a program manager at IARPA. He previously worked for 
MIT, Singapore University of Technology and Design, the World Bank and 
the University of Chicago. He obtained his PhD studying complex networks 
at the University of Cambridge, and his MBA and bachelor’s degrees from 
Indiana University. He has published research in such areas as animal 
behavior, computational neuroscience, complex networks, design science, 
statistical methods, and S&T forecasting.


*Rama Chellappa*, University of Maryland, College Park, USA

*P**ier Luigi Mazzeo*, CNR-Institute of Applied Sciences and Intelligent 
Systems, IT

*Paolo Spagnolo*, CNR-Institute of Applied Sciences and Intelligent 
Systems, IT

*Lei Zhang,* Microsoft AI & Research, USA


email: wdlam2019 at gmail.com <mailto:wdlam at gmail.com>

website: http://dlam2019.isasi.cnr.it/home/

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