MSS: IEEE AVSS Workshop

Propgram

Date: November 27

Venue: AUT WG 903

Time Slot Description
9:00-9:50 AM Keynote: Cyber-attacks on IP and surveillance cameras
Speaker: Prof. Yuval Elovici, Ben-Gurion University of the Negev
9:50-10:10 AM WS III 1: Analysis of Motion Patterns for Pain Estimation of Horses
Authors: Ralf Reulke, Dominik Rueß, NiklasDeckers, Dirk Barnewitz, Anne Wieckert and Kathrin Kienapfel
Speaker: Ralf Reulke
10:10-10:30 AM WS III 2: Hierarchical spatial object detection for ATM vandalism surveillance
Junyeop Lee, Chuljin Cho, David K. Han and HanseokKo
Speaker: Prof. Junyeop Lee
10:30-11:00 AM Tea break
11:00-11:20 AM WS III 3: UNICITY: A depth maps database for people detection in security airlocks
Authors: oël Dumoulin, Olivier Canévet, Michael Villamizar, Hugo Nunes, Elena Mugellini, FabriceMoscheni and Jean-Marc Odobez
Speaker: Michael Villamizar
11:20-11:40 AM WS III 4: Deep Hybrid Network for Automatic Quantitative Analysis of Facial Paralysis
Hsiang Chang (Taiwan University of Science and Technology) , Gee-Sern Hsu (National Taiwan University of Science and Technology)
Speaker: Gee-Sern Hsu
11:40-12:00 PM WS III 5: Computer vision based pose detection of agricultural implements without a priori knowledge of their geometry and visual appearance
Michael Erz (Robert Bosch GmbH)
Speaker: Michael Erz
12:00-12:20 PM WS III 6: Detection of Fairy Circles in UAV Images Using Deep Learning
Yuhong Zu(AUT), Zahra Moayed(AUT), Barbara Bollard-Breen(AUT), Ashray Doshi(AUT), Jean Baptiste Ramond(AUT), Reinhard Klette(AUT)
Speaker: Yuhong Zu
12:20-12:40 PM WS III 7 [Not confirmed]: Improving Real-Time Pedestrian Detectors with RGB+Depth Fusion
Authors: Tanguy Ophoff (KU Leuven), Kristof Van Beeck (KU Leuven), Toon Goedemé (KU Leuven - EAVISE)
Speaker: Tanguy Ophoff

Motivation

With rapid growth in sensing and communication technology, we have various new sources ofinformation that can complement video to achieve robust and reliable surveillance, e.g. heatdetector, smoke detector, infrared/thermal sensor, motion sensor, metal detectors, GPS,weather sensors, and various other sensors found on current smartphones. Additionally, online social networks and real-time news portals provide valuable information about individuals and surrounding environment. We can assimilate all these data from different sources to make accurate and reliable situation assessment using artificial intelligence (AI) and Deep learning (DL) methods. This workshop aims to bring together researchers that are specifically working on applying advanced learning techniques to exploit multi-source information for public safety and healthcare. The workshop aims to build a common platform for synergizing research efforts and develop innovative methods population health and safety. We solicit original and unpublished research papers that analyse multiple source for safety and healthcare applications. Topics for the workshop include, but not limited to:-

  • Multi-source data analysis for security threat and crime detection
  • Multi-source data analysis for forensics
  • Multi-source data analysis for abnormal situation monitoring
  • Advanced learning techniques for multi-source data analysis for safety and health
  • Multi-source data analysis for population health management
  • Multi-source data analysis for disease detection, diagnosis and treatment plans
  • Online social network analysis for safety and health monitoring
  • Multi-source data analysis for remote or tele-health management

Researchers working on multimodal analysis of single source (such as image, audio, text) for public safety and healthcare are also encouraged to submit their original work. Length of workshop the workshop is intended to be a half day event with 6 to 8 oral presentations including a keynote address.

Organizers

  • Dr. Mukesh Saini, Indian Institute of Technology Ropar, Email: mukesh@iitrpr.ac.in

  • Dr. Dwarikanath Mahapatra, IBM Research Australia, Email: dwarim@au1.ibm.com

Submission procedure

The maximum page limit is 6 pages including references. The abstract can be upto 1000 characters. Only PDF submissions will be considered, submissions made in other formats will be rejected. For paper format (LaTeX and Word) please visit the main conference page here. All paper submissions will be through the Microsoft CMT interface.
Following is the Submission Link: https://cmt3.research.microsoft.com/MSSAVSS2018

Deadline

7th September, 2018.
Submission Link: https://cmt3.research.microsoft.com/MSSAVSS2018

Notification

1st October, 2018.

Camera Ready Submission

15th October, 2018.

Post Workshop

Post workshop, we intend to submit a special issue proposal in a reputed journal for extended papers of the workshop on the same topic.