HADCV'20 Workshop Program Schedule (March 5, 2020)
| Schedule Item Type |
Session
(Optional) |
Start
Time |
Title |
Speaker/Author(s) |
| Remarks |
|
09:00 |
Welcome |
|
| Keynote/Invited Talk |
|
09:05 |
Invited Talk: FBI Uses of Video Analytics |
Richard Vorder Bruegge (Federal Bureau of Investigation) |
| Oral Paper |
|
09:45 |
Activity Detection in Untrimmed Videos Using Chunk-based Classifiers |
Joshua Gleason; Steven Schwarcz; Rajeev Ranjan; Carlos Castillo; Jun-Cheng Chen; Rama Chellappa (University of Maryland) |
| Oral Paper |
|
10:10 |
Context Sensitivity of Spatio-Temporal Activity Detection using Hierarchical Deep Neural Networks in Extended Videos |
Felix Hertlein; David Münch; Michael Arens (Fraunhofer IOSB) |
| Break |
|
10:35 |
Morning Break |
|
| Session Header |
ActEV Challenge Results & Best Performer Presentations (1055-1210) |
|
| Oral Paper |
|
10:55 |
ActEV SDL & TRECVID Challenge Results |
Yooyoung Lee; Jonathan Fiscus; Afzal Godil; Andrew Delgado; Eliot Godard; Edmond J. Golden; Maxime Hubert; Lukas Diduch (NIST) |
| Oral Paper |
|
11:20 |
Faster than Real-time Detection of Activities in Untrimmed Videos (SDL Leaderboard) |
Joshua Gleason; Carlos Castillo; Rama Chellappa (University of Maryland) |
| Oral Paper |
|
11:45 |
Argus: Efficient Parallel Activity Detection System for Extended Video Analysis (TRECVID Leaderboard) |
Wenhe Liu; Xiaojun Chang; Guoliang Kang; Po-Yao Huang ; lijun yu; Yijun Qian; Jing Wen; Alexander Hauptmann (Carnegie Mellon University, Monash University) |
| Session Header |
Activity Detection/Recognition Session I (1210-1310) |
|
| Oral Paper |
|
12:10 |
Adaptive Feature Aggregation for Video Object Detection |
Yijun Qian; Lijun Yu; Wenhe Liu; Guoliang Kang; Alexander Hauptmann (Carnegie Mellon University) |
| Keynote/Invited Talk |
|
12:35 |
Invited Talk: The IARPA DIVA Program |
Jeff Alstott (IARPA) |
| Break |
|
13:10 |
Lunch & Poster Setup |
|
| Session Header |
Activity Detection/Recognition Session II (1410-1515) |
|
| Keynote/Invited Talk |
|
14:10 |
Invited Talk: Two Decades of Action for Action Recognition and Detection: From Shallow to Deep Representations |
Rama Chellappa (University of Maryland) |
| Oral Paper |
|
14:50 |
Real-Time Activity Detection of Human Movement in Videos via Smartphone Based on Synthetic Training Data |
Rico Thomanek; Tony Rolletschke; Benny Platte; Claudia Hösel; Christian Roschke; Robert Manthey; Manuel Heinzig; Richard Vogel; Frank Zimmer; Matthias Vodel; Maximilian Eibl; Marc Ritter (University of Applied Sciences Mittweida, TU Chemnitz) |
| Other |
|
15:15 |
ActEV Challenges and Datasets Group Discussion |
|
| Break |
|
15:30 |
Afternoon Break + Poster Session |
|
| Session Header |
Poster Session (1530-1645) |
|
| Poster Presentation |
|
- |
Poster Abstract: Efficient Parallel Activities Detection System for Extended Video Analysis |
Wenhe Liu; Guoliang Kang; Po-Yao Huang; lijun yu; Yijun Qian; Jing Wen; Alexander Hauptmann (Carnegie Mellon University) |
| Poster Presentation |
|
- |
Poster Abstract: A Spatio-Temporal Activity Detection Framework |
Mandis Beigi; LISA BROWN; Quanfu Fan; John Henning; Chung-Ching Lin; Yue Meng; Rameswar Panda; sharath pankanti; Honghui Shi; Rogerio Feris (IBM Research) |
| Poster Presentation |
|
- |
Summary of 2019 Activity Detection in Extended Videos Prize Challenge |
Yooyoung Lee; Jonathan Fiscus; Afzal Godil; Andrew Delgado; Edmond J. Golden III; Maxime Hubert; Lukas Diduch (NIST) |
| Poster Presentation |
|
- |
Boosted Kernelized Correlation Filters for Event-based Face Detection |
Bharath Ramesh (National University of Singapore); Hong Yang (NUS) |
| Poster Presentation |
|
- |
Exploring Techniques to Improve Activity Recognition using Human Pose Skeletons |
Bharath Raj Nagoor Kani; Anand Subramanian; Kashyap Ravichandran; N. Venkateswaran (SSN College of Engineering and SSNCE) |
| Other |
|
16:45 |
Closing Remarks |
|
The 2nd International Workshop on
Human Activity Detection in multi-camera, Continuous, long-duration Video (HADCV'20)
under the IEEE Winter Conf. on Applications of Computer Vision (WACV)
Aspen, Colorado, March 05, 2020
Updates
Summary
The 2nd International Workshop on Human Activity Detection in multi-camera, Continuous, long-duration Video (HADCV'20) is organized in conjunction with the
WACV’20 conference and will focus on human activity detection in multi-camera video streams. Activity detection has been an active research area in computer vision. The ability to detect human activities is an important task in computer vision due to its potentially wide range of applications such as public safety and security, crime prevention, traffic monitoring and control, eldercare/childcare, human-computer interaction, human-robot interaction, hospital activity monitoring, and many more. The
ActEV (Activities in Extended Video) series of challenges started in spring 2018 to support the development of technologies for multi-camera, automatic activity detection algorithms which will be presented in this workshop.
The 1st International Workshop on Human Activity Detection in multi-camera, Continuous, long-duration Video (HADCV'19) was successfully organized in conjunction with the (WACV 2019) and the results of the ActEV 2018 challenges were presented. Since then, we are running ActEV challenges on larger and more challenging datasets with more activities. In this workshop the aims are to present the research findings of the current ActEV challenges and to solicit papers on topics related to activity detection. The workshop will provide a platform for researchers to share research experiences and foster collaboration. Two concurrent challenges (https://actev.nist.gov) are currently running: the ActEV Sequestered Data Leaderboard based on the MEVA dataset and the self-reported ActEV TRECVID leaderboard based on the VIRAT dataset.
Recently, larger visual datasets and deep learning have revolutionized the computer vision field contributing to significant advances in the performance of activity detection and classification. However, a significant focus of activity detection has been on near field and social media video, while application to wide field-of-view public safety video has not yielded satisfactory results. Particular challenges for public safety video include large time periods with no activities, the presence of multiple simultaneous activities in different spatial regions of the video, and occurrence of many activities far from the video sensor resulting in low resolution. The VIRAT and MEVA datasets used for the ActEV evaluations are far more closely aligned with real-world public safety ground video analytics.
This workshop aims to bring all the stakeholders (activity detection, object detection and tracking, 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. The primary focus will be on activity detection algorithms, performance evaluation and characterization, and large dataset collections for activity detection. Research findings from the ActEV challenges will be presented. In addition, submissions are invited from the research community for unpublished research papers.
News (extended deadline)
16Dec
Abstract Submission Due
16Dec
Full/Short Paper Due
15Jan
Camera Ready Papers Due
Call for Papers
Important Dates:
Extended Deadline: December 16, 2019 : 5:00pm: Poster Abstract Submission Due (2 pages limit)
Extended Deadline: December 16, 2019 : 5:00pm: Short Paper Submission Due* (4 pages limit + reference)
Extended Deadline: December 16, 2019 : 5:00pm: Full Paper Submission Due* (8 page limit + reference)
*Accepted papers will be included in the Proceedings of IEEE WACV 2020 & Workshops and will be sent for inclusion into the IEEE Xplore digital library.
January 10, 2020: Notification to Authors
January 15, 2020 : Camera Ready Papers Due
March 05, 2020: HADCV'20 Workshop Date
About the 2nd International HADCV Workshop 2020:
This workshop aims to bring all the stakeholders (activity detection, object detection and tracking, 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. The primary focus will be on activity detection algorithms, performance evaluation and characterization, and large dataset collections for activity detection. Research findings from the ActEV challenges will be presented. In addition, we are inviting the research community to submit unpublished research papers which will be published in the IEEE Digital Library on the following topics:
Activity detection in untrimmed video
Activity detection, recognition, classification and prediction
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, 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
Ontology of human Activity
Applications of activity detection and understanding in public safety and security, traffic monitoring and control, crime prevention, etc.
As organizers of the workshop we are looking forward to contributions in these and related areas.
A. Godil, J. Fiscus, A. Hoogs, R. Meth
People
Organizers
Afzal Godil, NIST
Jonathan G. Fiscus, NIST
Anthony Hoogs, Kitware
Reuven Meth, SAIC
Invited Speakers
Richard Vorder Bruegge, FBI
Rama Chellappa, UMD
Jeff Alstott, Program Manager, IARPA
Program committee
Shin'ichi Satoh, National Institute of Informatics
Cosimo Distante, CNR and University of Salento
Gregory Hager, JHU
Sharathchandra Pankanti, IBM
Yi Yao, SRI
Pavan Turaga, ASU
Carlos Castillo, UMD
Yogesh Singh Rawat, UCF
Lisa Brown, IBM
Haider Ali, Crowdception
Xiaojun Chang, Monash University
Marc Ritter, HS-Mittweida
Huijuan Xu, UC Berkeley
Faisal Qureshi, Ontario Tech University
Chong-Wah Ngo, City University of Hong Kong
Chenqiang Gao, CQUPT University
Fatih Porikli, Australian National University
Snehasis Mukherjee, IIIT
Bo Li, USM
Benjamin Riggan, University of Nebraska-Lincoln
Alex Hauptmann, CMU
Cees Snoek, University of Amsterdam
Asim Wagan, JU
Jeff Byrne, STR
Josh Gleason, UMD
Yooyoung Lee, NIST
George Awad, Georgetown University & NIST
Asad Butt, JHU
Keith Curtis, NIST
Wenhe Liu, CMU
Keith Fieldhouse, Kitware
Sudeep Sarkar, USF
Roddy Collins, Kitware
Submissions
Authors are invited to submit original work not currently under consideration elsewhere. The HADCV'20 workshop submission are handled via HADCV20 CMT page
HADCV20 workshop CMT link Accepted papers will be allocated 8 pages in the proceeding and that is, a paper can be up to 8 pages + the references. The manuscripts should be submitted in PDF format and should follow the requirements of the IEEE WACV paper format. All work submitted to WACV workshop is considered confidential until the papers appear. Accepted papers will be included in the Proceedings of IEEE WACV 2020 & Workshops and will be sent for inclusion into the IEEE Xplore digital library.
For WACV'20 Paper preparation and Author kit, See WACV'20 Submissions page for more details Paper preparation and see Author kit.
Workshop Registration
You can register for HADCV'20 workshop at the WACV'20 registration page or by clicking this link: WACV2020 Registration
If you have any question about the HADCV'20 Workshop, please email to
hadcv@nist.gov
