DLAM 2019 : Deep Learning for Activity Monitoring

  in Conferences   Posted on April 14, 2019

Conference Information

Submission Deadline Saturday 06 Jul 2019
Conference & Submission Link http://dlam2019.isasi.cnr.it/
Conference Dates Sep 21, 2019 - Sep 21, 2019
Conference Address Taipei (Taiwan), Taiwan
Proceedings indexed by
Conference Organizers : ( Deadline extended ? Click here to edit )

Conference Call for Papers

in conjunction with the 16th IEEE International Conference on Advanced Video and Signal-based Surveillance (AVSS) 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 kinds of the 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 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. The 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


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

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