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  28 January - 2 February, 2018 • Burlingame, California USA

Surveillance Session: Applications and Algorithms Program

Monday January 29, 2018

Surveillance in Robotics, Vision, and Inspection

Session Chair: Sreenath Vantaram, Apple Inc. (United States)
10:40 AM – 12:20 PM
This session is jointly sponsored by: Intelligent Robotics and Industrial Applications using Computer Vision 2018, and Surveillance Session: Applications and Algorithms.

Pose perceptual characteristics using HMD-based visual instruction; effect of front/rear view and viewpoint change methods, Shin Kinoshita, Yoshihiko Nomura, Ryota Sakamoto, and Tokuhiro Sugiura, Mie University (Japan)

Robust pose estimation with the stereoscopic camera in harsh environment, Longchuan Niu, Sergey Smirnov, Jouni Mattila, and Atanas Gotchev, Tampere University of Technology (Finland)

Predicting rapid fire growth (flashover) using a hybrid convolutional neural network for object recognition and segmentation, Kyongsik Yun, Jessi Bustos, and Thomas Lu, NASA Jet Propulsion Laboratory (United States)

Using shape descriptors for UAV detection, Eren Unlu1, Emmanuel Zenou1, and Nicolas Riviere2; 1ISAE-SUPAERO and 2ONERA (France)

About pixel densities in surveillance, Vlado Damjanovski, ViDi Labs Pty Ltd (Australia)

2:00 – 3:00 PM PLENARY: Overview of Modern Machine Learning and Deep Neural Networks - Impact on Imaging and the Field of Computer Vision

5:00 – 6:00 PM All-Conference Welcome Reception

Final Manuscript Deadline

Final manuscripts are due 10 January 2018. The proceedings will be published after the conference.

Important Dates
Call for Papers Announced 1 Mar 2017
Review Abstracts Due (refer to For Authors page)
· Regular Submission Ends 15 Aug 2017
· Late Submission Ends  10 Sept 2017
Registration Opens
Now Open
Hotel Reservation Deadline
12 Jan 2018
Early Registration Ends 8 Jan 2018
Conference Starts 28 Jan 2018 

View 2018 Proceedings with IRIACV Conference
View 2017 Proceedings

Focus Session Chair
Sreenath Rao Vantaram, Apple Inc. (United States)