Program

Monday, October 10, 2016 @ Tuchinski theater Amsterdam

CUW 2016 Program at a Glance

09:00 – Welcome and Opening remarks – Francois Bremond
09:15 – Invited speaker – Pascal Fua
10:00 – Spotlight session
10:40 – Coffee break
11:00 – Invited speaker – Mubarak Shah
11:45 – Poster session
12:45 – Coffee break
13:00 – Invited speaker – Gennadiy Reznichenko
13:45 – Closing remarks – Vit Libal

CUW 2016 Detailed Program

09:00 – Welcome and Opening remarks – Francois Bremond
09:15 – Invited talk – Identity Preserving Multi-People Tracking through Linear Programming, Pascal Fua

10:00 – Spotlight session

  • Multi-Person Pose Estimation with Local Joint-to-Person Associations
    Umar Iqbal*, University of Bonn; Jürgen Gall, University of Bonn
  • Density-aware Pedestrian Proposal Networks for Fast People Detection in Crowded Scene
    Sangdoo Yun*, Seoul National University; Kimin Yun, Seoul National University; Jongwon Choi, Seoul National University; Jin Young Choi, Seoul National University
  • Abnormal Crowd Behavior Detection Based on Gaussian Mixture Model.
    Oscar Rojas*, UNICAMP; Clesio Tozzi, UNICAMP
  • LCrowdV: Generating Labeled Videos for Simulation-based Crowd Behavior Learning
    Chor Hei Ernest Cheung* ; Tsan Kwong Wong; Aniket Bera; Dinesh Manocha, University of North Carolina at Chapel Hill; Xiaogang Wang, Chinese University of Hong Kong
  • Anomaly Detection and Activity Perception Using Covariance Descriptor for Trajectories
    Hamza Ergezer*, Kemal Leblebicioglu,  METU
  • Automatic Calibration of Stationary Surveillance Cameras in the Wild
    Guido Brouwers*, Vinotion; Matthijs Zwemer, Vinotion; Rob Wijnhoven, Vinotion; P. H. N. de With, Eindhoven University of Technology
  • Data-driven Motion Patterns Segmentation in a Crowded Environment
    Jana Trojanova*, Honeywell; Karel Krehnac, NeoVision; Francois Bremond, Inria

10:40 – Coffee break

11:00 – Invited talk – Counting, Detecting and Tracking of People in Crowded Scenes, Mubarak Shah

11:45 – Poster session

  • People counting in videos by fusing temporal cues from spatial context-aware Convolutional Neural Networks
    SERGIO VELASTIN*, Universidad Carlos III de Madrid, Spain; Miguel Jara-Rodriguez, Universidad de Santiago de Chile; Pablo Zegers, Universidad de los Andes; Panagiotis Sourtzinos, Kingston University; Dimitrios Makris, Kingston University
  • Unsupervised Deep Domain Adaptation for Pedestrian Detection
     Weiyao Lin*, Lihang Liu,  Lisheng Wu, Yong Yu, Shanghai Jiao Tong University;Michael Ying Yang, University of Twente
  • Pixel level Tracking of Multiple Targets in Crowded Environments
    Mohammadreza Babaee*,  Yue You, Gerhard Rigoll, Institute for Human-Machine Communication, TU Munich;
  • Multi-Person Pose Estimation with Local Joint-to-Person Associations
    Umar Iqbal*, University of Bonn; Jürgen Gall, University of Bonn
  • Density-aware Pedestrian Proposal Networks for Fast People Detection in Crowded Scene
    Sangdoo Yun*, Seoul National University; Kimin Yun, Seoul National University; Jongwon Choi, Seoul National University; Jin Young Choi, Seoul National University
  • Abnormal Crowd Behavior Detection Based on Gaussian Mixture Model.
    Oscar Rojas*, UNICAMP; Clesio Tozzi, UNICAMP
  • LCrowdV: Generating Labeled Videos for Simulation-based Crowd Behavior Learning
    Chor Hei Ernest Cheung* ; Tsan Kwong Wong; Aniket Bera; Dinesh Manocha, University of North Carolina at Chapel Hill; Xiaogang Wang, Chinese University of Hong Kong
  • Anomaly Detection and Activity Perception Using Covariance Descriptor for Trajectories
  • Hamza Ergezer*, Kemal Leblebicioglu, METU
  • Automatic Calibration of Stationary Surveillance Cameras in the Wild
    Guido Brouwers*, Vinotion; Matthijs Zwemer, Vinotion; Rob Wijnhoven, Vinotion; P. H. N. de With, Eindhoven University of Technology
  • Data-driven Motion Patterns Segmentation in a Crowded Environment
    Jana Trojanova*, Honeywell; Karel Krehnac, NeoVision; Francois Bremond, Inria

12:45 – Coffee break

13:00 – Invited talk –Turning Big Data into Rich data: Proactive Defensive Strategies in an Age of Modern Surveillance, Gennadiy Reznichenko

13:45 – Closing remarks – Vit Libal