Human Activity Detection in Multi-Camera, Continuous, Long-Duration Video (HADCV'19) Workshop


AD Leaderboard

Updated: 2018-11-15T07:52:30+00:00
RANK SUBMISSION_ID EVALUATION_NAME TRACK_NAME TEAM_NAME SYSTEM_NAME METRIC_NAME METRIC_VALUE
1 ActEV-2018_AD_Phase-AD-ActEV-Leader_SYS-00069_Team-Vision_20181009-155732-6403.sr-20181009-155732-6965 ActEV-2018 AD Team_Vision IBM_E2E mean-p_miss@0.15rfa 0.7087156226569999
2 ActEV-2018_AOD_Phase-AOD-ActEV-Leader_SYS-00083_Team-Vision_20181009-134800-1188.sr-20181009-134800-1731 ActEV-2018 AD Team_Vision IBM_E2E_ALL mean-p_miss@0.15rfa 0.718942449806
3 ActEV-2018_AD_Phase-AD-ActEV-Leader_SYS-00068_UCF_20181009-174811-7853.sr-20181009-174811-8151 ActEV-2018 AD UCF UCF mean-p_miss@0.15rfa 0.7329866448710001
4 ActEV-2018_AD_Phase-AD-ActEV-Leader_SYS-00074_BUPT-MCPRL_20181021-065538-7015.sr-20181021-065538-7426 ActEV-2018 AD BUPT-MCPRL bupt_mcprl_ad mean-p_miss@0.15rfa 0.7485354298610001
5 ActEV-2018_AOD_Phase-AOD-ActEV-Leader_SYS-00077_BUPT-MCPRL_20181024-053432-9108.sr-20181024-053432-9511 ActEV-2018 AD BUPT-MCPRL bupt_mcprl_aod2 mean-p_miss@0.15rfa 0.7507750715189999
6 ActEV-2018_AD_Phase-AD-ActEV-Leader_SYS-00080_BUPT-MCPRL_20181024-053231-6042.sr-20181024-053231-6330 ActEV-2018 AD BUPT-MCPRL bupt_mcprl_ad3 mean-p_miss@0.15rfa 0.7507750715189999
7 ActEV-2018_AD_Phase-AD-ActEV-Leader_SYS-00076_BUPT-MCPRL_20181008-045311-3858.sr-20181008-045311-4151 ActEV-2018 AD BUPT-MCPRL bupt_mcprl_ad2 mean-p_miss@0.15rfa 0.7507750715189999
8 ActEV-2018_AOD_Phase-AOD-ActEV-Leader_SYS-00075_BUPT-MCPRL_20181008-030636-8198.sr-20181008-030636-8583 ActEV-2018 AD BUPT-MCPRL bupt_mcprl_aod mean-p_miss@0.15rfa 0.7555597605140001
9 ActEV-2018_AOD_Phase-AOD-ActEV-Leader_SYS-00097_Team-Vision_20181007-203040-8901.sr-20181007-203040-9533 ActEV-2018 AD Team_Vision IBM_E2E_ALL_NEW mean-p_miss@0.15rfa 0.7589621184540001
10 ActEV-2018_AOD_Phase-AOD-ActEV-Leader_SYS-00085_BUPT-MCPRL_20180928-002728-5146.sr-20180928-002728-5543 ActEV-2018 AD BUPT-MCPRL bupt_mcprl_aod4 mean-p_miss@0.15rfa 0.759068532444
11 ActEV-2018_AD_Phase-AD-ActEV-Leader_SYS-00084_BUPT-MCPRL_20180928-002620-3845.sr-20180928-002620-4152 ActEV-2018 AD BUPT-MCPRL bupt_mcprl_ad4 mean-p_miss@0.15rfa 0.759068532444
12 ActEV-2018_AD_Phase-AD-ActEV-Leader_SYS-00078_BUPT-MCPRL_20180921-234947-8187.sr-20180921-234947-8543 ActEV-2018 AD BUPT-MCPRL bupt_mcprl_aod3 mean-p_miss@0.15rfa 0.759068532444
13 ActEV-2018_AD_Phase-AD-ActEV-Leader_SYS-00067_IBM-MIT-Purdue_20180823-154949-8470.sr-20180823-154949-8999 ActEV-2018 AD IBM-MIT-Purdue IBM mean-p_miss@0.15rfa 0.8396338981479999
14 ActEV-2018_AD_Phase-AD-ActEV-Leader_SYS-00102_INF_20181009-100009-2955.sr-20181009-100009-3440 ActEV-2018 AD INF localresnettrnval_all mean-p_miss@0.15rfa 0.843979455595
15 ActEV-2018_AD_Phase-AD-ActEV-Leader_SYS-00099_INF_20181009-095825-5765.sr-20181009-095825-6169 ActEV-2018 AD INF localresnettrnval mean-p_miss@0.15rfa 0.878536623884
16 ActEV-2018_AD_Phase-AD-ActEV-Leader_SYS-00087_VANT_20181001-041813-0184.sr-20181001-041813-0488 ActEV-2018 AD VANT ACT mean-p_miss@0.15rfa 0.8822791423299999
17 ActEV-2018_AD_Phase-AD-ActEV-Leader_SYS-00094_DIVA-TE-Baseline_20181005-161350-3844.sr-20181005-161350-4153 ActEV-2018 AD DIVA TE Baseline baselineACT_1_AD mean-p_miss@0.15rfa 0.8945666099160001
18 ActEV-2018_AOD_Phase-AOD-ActEV-Leader_SYS-00103_DIVA-TE-Baseline_20181009-130747-6384.sr-20181009-130747-6737 ActEV-2018 AD DIVA TE Baseline baselineACTMerged_1_AOD mean-p_miss@0.15rfa 0.905986406278
19 ActEV-2018_AOD_Phase-AOD-ActEV-Leader_SYS-00104_DIVA-TE-Baseline_20181009-130834-9585.sr-20181009-130835-0175 ActEV-2018 AD DIVA TE Baseline baselineACT_1_AOD mean-p_miss@0.15rfa 0.905986406278
20 ActEV-2018_AOD_Phase-AOD-ActEV-Leader_SYS-00065_NIST-TEST_20181029-144922-2766.sr-20181029-144922-3544 ActEV-2018 AD NIST-TEST Test-System mean-p_miss@0.15rfa 0.905986406278
21 ActEV-2018_AD_Phase-AD-ActEV-Leader_SYS-00091_DIVA-TE-Baseline_20181002-140233-6845.sr-20181002-140233-7141 ActEV-2018 AD DIVA TE Baseline baselineRC3D_1_AD mean-p_miss@0.15rfa 0.906375567631
22 ActEV-2018_AOD_Phase-AOD-ActEV-Leader_SYS-00093_NII-Hitachi-UIT_20181115-024032-6192.sr-20181115-024032-6592 ActEV-2018 AD NII_Hitachi_UIT baseline mean-p_miss@0.15rfa 0.919943970503
23 ActEV-2018_AD_Phase-AD-ActEV-Leader_SYS-00086_NII-Hitachi-UIT_20181115-025013-5968.sr-20181115-025013-6297 ActEV-2018 AD NII_Hitachi_UIT trail mean-p_miss@0.15rfa 0.919943970503
24 ActEV-2018_AOD_Phase-AOD-ActEV-Leader_SYS-00081_NII-Hitachi-UIT_20181113-232655-7826.sr-20181113-232655-8173 ActEV-2018 AD NII_Hitachi_UIT init mean-p_miss@0.15rfa 0.9213679349770001
25 ActEV-2018_AD_Phase-AD-ActEV-Leader_SYS-00071_UTS-CETC_20181005-073137-6294.sr-20181005-073137-6625 ActEV-2018 AD UTS-CETC window2 mean-p_miss@0.15rfa 0.924910657484
26 ActEV-2018_AD_Phase-AD-ActEV-Leader_SYS-00088_USF-Bulls_20181008-095726-6807.sr-20181008-095726-7157 ActEV-2018 AD USF Bulls usf1 mean-p_miss@0.15rfa 0.9344478809479999
27 ActEV-2018_AD_Phase-AD-ActEV-Leader_SYS-00095_USF-Bulls_20181008-005831-9550.sr-20181008-005831-9931 ActEV-2018 AD USF Bulls usf2 mean-p_miss@0.15rfa 0.9344478809479999
28 ActEV-2018_AD_Phase-AD-ActEV-Leader_SYS-00098_USF-Bulls_20181009-164339-7900.sr-20181009-164339-8194 ActEV-2018 AD USF Bulls usf-3 mean-p_miss@0.15rfa 0.9344478809479999
29 ActEV-2018_AD_Phase-AD-ActEV-Leader_SYS-00066_USF-Bulls_20181008-013009-7242.sr-20181008-013009-7545 ActEV-2018 AD USF Bulls usf0 mean-p_miss@0.15rfa 0.9344478809479999
30 ActEV-2018_AD_Phase-AD-ActEV-Leader_SYS-00072_UTS-CETC_20180907-024746-6012.sr-20180907-024746-6317 ActEV-2018 AD UTS-CETC base mean-p_miss@0.15rfa 0.951032165623

AOD Leaderboard

Updated: 2018-11-15T07:45:22+00:00
RANK SUBMISSION_ID EVALUATION_NAME TRACK_NAME TEAM_NAME SYSTEM_NAME METRIC_NAME METRIC_VALUE
1 ActEV-2018_AOD_Phase-AOD-ActEV-Leader_SYS-00070_Team-Vision_20181009-140238-5458.sr-20181009-140238-6040 ActEV-2018 AOD Team_Vision IBM_E2E mean-p_miss@0.15rfa 0.7520320713959999
2 ActEV-2018_AOD_Phase-AOD-ActEV-Leader_SYS-00083_Team-Vision_20181009-134800-1188.sr-20181009-134800-1731 ActEV-2018 AOD Team_Vision IBM_E2E_ALL mean-p_miss@0.15rfa 0.762919700625
3 ActEV-2018_AOD_Phase-AOD-ActEV-Leader_SYS-00097_Team-Vision_20181007-203040-8901.sr-20181007-203040-9533 ActEV-2018 AOD Team_Vision IBM_E2E_ALL_NEW mean-p_miss@0.15rfa 0.778533161446
4 ActEV-2018_AOD_Phase-AOD-ActEV-Leader_SYS-00077_BUPT-MCPRL_20181024-053432-9108.sr-20181024-053432-9511 ActEV-2018 AOD BUPT-MCPRL bupt_mcprl_aod2 mean-p_miss@0.15rfa 0.7859195998270001
5 ActEV-2018_AOD_Phase-AOD-ActEV-Leader_SYS-00075_BUPT-MCPRL_20181008-030636-8198.sr-20181008-030636-8583 ActEV-2018 AOD BUPT-MCPRL bupt_mcprl_aod mean-p_miss@0.15rfa 0.8487204831540001
6 ActEV-2018_AOD_Phase-AOD-ActEV-Leader_SYS-00085_BUPT-MCPRL_20180928-002754-1535.sr-20180928-002754-1965 ActEV-2018 AOD BUPT-MCPRL bupt_mcprl_aod4 mean-p_miss@0.15rfa 0.8522292550839999
7 ActEV-2018_AOD_Phase-AOD-ActEV-Leader_SYS-00079_BUPT-MCPRL_20180921-235304-7372.sr-20180921-235304-7867 ActEV-2018 AOD BUPT-MCPRL bupt_mcprl_aod3 mean-p_miss@0.15rfa 0.8522292550839999
8 ActEV-2018_AOD_Phase-AOD-ActEV-Leader_SYS-00073_UCF_20180917-135516-1904.sr-20180917-135516-2312 ActEV-2018 AOD UCF UCF mean-p_miss@0.15rfa 0.934219782411
9 ActEV-2018_AOD_Phase-AOD-ActEV-Leader_SYS-00093_NII-Hitachi-UIT_20181115-024032-6192.sr-20181115-024032-6592 ActEV-2018 AOD NII_Hitachi_UIT baseline mean-p_miss@0.15rfa 0.93871120108
10 ActEV-2018_AOD_Phase-AOD-ActEV-Leader_SYS-00104_DIVA-TE-Baseline_20181009-130834-9585.sr-20181009-130835-0175 ActEV-2018 AOD DIVA TE Baseline baselineACT_1_AOD mean-p_miss@0.15rfa 0.94080634278
11 ActEV-2018_AOD_Phase-AOD-ActEV-Leader_SYS-00065_NIST-TEST_20181029-144922-2766.sr-20181029-144922-3544 ActEV-2018 AOD NIST-TEST Test-System mean-p_miss@0.15rfa 0.94080634278
12 ActEV-2018_AOD_Phase-AOD-ActEV-Leader_SYS-00081_NII-Hitachi-UIT_20181110-003804-3118.sr-20181110-003804-3450 ActEV-2018 AOD NII_Hitachi_UIT init mean-p_miss@0.15rfa 0.942470599576
13 ActEV-2018_AOD_Phase-AOD-ActEV-Leader_SYS-00101_INF_20181009-154733-3763.sr-20181009-154733-4392 ActEV-2018 AOD INF localresnettrnval_all mean-p_miss@0.15rfa 0.9509898723899999
14 ActEV-2018_AOD_Phase-AOD-ActEV-Leader_SYS-00103_DIVA-TE-Baseline_20181009-130747-6384.sr-20181009-130747-6737 ActEV-2018 AOD DIVA TE Baseline baselineACTMerged_1_AOD mean-p_miss@0.15rfa 0.964845768267
15 ActEV-2018_AOD_Phase-AOD-ActEV-Leader_SYS-00100_INF_20181009-154712-8611.sr-20181009-154712-9045 ActEV-2018 AOD INF localresnettrnval mean-p_miss@0.15rfa 0.9712459955130001
Contact Us

For any questions about the HADCV workshop, please contact us:
HADCV workshop email: hadcv@nist.gov

Program


Program Coming Soon
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, 2019

Summary (EXTENDED PAPER SUBMISSION DEADLINE: November 5th)
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 ActEV website that we are currently running is based on the VIRAT V1/V2 dataset, which includes the unreleased portion of the VIRAT dataset and has been annotated with many new activities. 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 six 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
News
7Nov
Poster Abstract Submission Due
5Nov
Paper Submission Due
1Dec
Camera Ready Papers Due
7Jan
WACV HADCV'19 workshop
Call for Papers

Important Dates:
November 7, 2018: Poster Abstract Submission Due (2 pages limit)
November 5, 2108: Paper Submission Due
November 18, 2018: Notification to Authors
December 01, 2018 : Camera Ready Papers Due
January 07, 2019: HADCV'19 Workshop Date
About the 1st International HADCV Workshop 2019:
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. All accepted papers will be published in the IEEE Digital Library
Suggested topics include, but are not limited to:
  • 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, 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
  • Ontology of human Activity
  • 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.
    A. Godil, J. Fiscus, T. Adams, A. Hoogs, R. Meth
    People

    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, University of Central Florida
    Jeff Alstott, Program Manager, IARPA
    Program committee
    Shin'ichi Satoh, National Institute of Informatics
    Gregory Hager, JHU
    Ajay Divakaran, SRI
    Rama Chellappa, UMD
    Yi Yao, SRI
    Rogerio Feris, IBM
    Carlos Castillo, UMD
    Yogesh Singh Rawat, UCF
    Haider Ali, JHU
    Marc Ritter, HS-Mittweida
    Michael Ryoo, Indiana University
    Mubarak Shah, UCF
    Sudeep Sarkar, USF
    Fatih Porikli, Australian National University
    Snehasis Mukherjee, IIIT
    Bo Li, USM
    Cees Snoek, University of Amsterdam
    Konstantinos Avgerinaki, ITI-Certh
    Asim Wagan, JU Jeff Byrne, STR
    Yooyoung Lee, NIST
    Roddy Collins, Kitware
    George Awad, NIST
    Asad Butt, NIST
    Submissions


    Authors are invited to submit original work not currently under consideration elsewhere. The HADCV'19 workshop submission are handled via HADCV19 CMT page HADCV19 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 2019 & Workshops and will be sent for inclusion into the IEEE Xplore digital library.


    For WACV'19 Paper preparation and Author kit, See WACV'19 Submissions page for more details Paper preparation and Author kit.

    Workshop Registration
    You can register for HADCV'19 workshop at the WACV'19 registration page or by clicking this link: WACV2019 Registration




    If you have any question about the HADCV Workshop, please email to hadcv@nist.gov