[visionlist] CFP: WACV Workshop on Human Activity Detection in multi-camera, Continuous, long-duration Video (HADCV'19)

[Godil, Afzal A. (Fed)]

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: https://www.nist.gov/itl/iad/mig/human-activity-detection-multi-camera-continuous-long-duration-video-workshop

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 In addition, we are inviting the research community to submit unpublished research papers on the following topics, but not limited to: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.

Organizers
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 <hadcv at nist.gov>


Afzal Godil
Information Technology Laboratory
National Institute of Standards and Technology
godil at nist.gov

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