1st International Workshop on Human Activity Detection in multi-camera, Continuous, long-duration Video (HADCV'19) Call for Papers

Call for Papers and Participation:

About the 1st International Workshop on Human Activity Detection in
multi-camera, Continuous, long-duration Video (HADCV'19), under the
IEEE Winter Conf. on Applications of Computer Vision (WACV), Waikoloa
Village, Hawaii, January 7 or 11, 2019:

Workshop Website:

This HADCV'19 workshop will focus on human activity detection in
multi-camera video streams. Activity detection has been an active
research area in computer vision in recent years. The ability to
detect human activities is an important task in computer vision due to
its potential in a wide range of applications such as public safety
and security, crime prevention, traffic monitoring and control,
eldercare/childcare, human-computer interaction, human-robot
interaction, smart homes, hospital activity monitoring, and many
more. The ActEV (Activities in Extended Video) challenge
(https://actev.nist.gov) that we are currently running is based on the
VIRAT V1/V2 dataset. Twenty-seven teams have registered for the ActEV
challenge and have downloaded the datasets, and so far, thirteen teams
have submitted results.

In this full day workshop, we will bring all the stakeholders (object
detection, tracking, activity detection, pose estimation, machine
learning, etc.) together to help advance the state-of-the-art in human
activity detection technology in multi-camera video streaming
environments. For this workshop, we will present the research finding
from the Activities in Extended Video (ActEV) evaluation. We will have
invited talks from experts in the field. We will have four talks from
the best performers at the ActEV evaluation, and the rest of the
performers will be invited to present their work as a poster. In
addition, we are inviting the research community to submit unpublished
research papers on the following topics, but not limited to:

Activity detection in untrimmed video
Multi-camera object detection and tracking in crowded scenes

Human activity and behavior analysis in indoor/outdoor environments
for public safety, security, traffic monitoring and control, health,
space management, etc.

Human activity monitoring in public spaces
Person re-identification
Human pose estimation and gesture recognition
Human activity understanding
Spatio-temporal activity/object localization
Human behavior and activity analysis
Anomaly detection in indoor/outdoor activities
Human-human and Human-object interaction
Indexing and retrieval of human activity in video datasets
Multi-camera analysis
Evaluation criteria and metrics for Activity detection
Benchmarking datasets and annotations
Machine learning/deep learning methods for activity detection
Big video datasets

Applications of activity detection and understanding in public safety
and security, traffic monitoring and control, crime prevention,
human-robot interaction, etc.

As organizers of the workshop we are looking forward to your contributions.

Afzal Godil, NIST
Jonathan G. Fiscus, NIST
Terry Adams, IARPA
Anthony Hoogs, Kitware
Reuven Meth, Engility

Invited speakers
Cees Snoek, University of Amsterdam 
Mubarak Shah, UCF 

Preliminary schedule
Poster Abstract Submission Due (2 pages limit): 1 November 2018
Paper Submission Due: 15 October 2018
Notification to Authors: 10 November 2018
Camera Ready Papers Due: 1 December 2018
Workshop Date: 11 January 2019

Contact Email: HADCV workshop