GTC ON-DEMAND

 
SEARCH SESSIONS
SEARCH SESSIONS

Search All
 
Refine Results:
 
Year(s)

SOCIAL MEDIA

EMAIL SUBSCRIPTION

 
 

GTC ON-DEMAND

Presentation
Media
Abstract:

Experience how to make spaces aware of the situation of people and objects. Explore new techniques to build real-time systems that can understand scenes with the help of hemispherical point clouds and AI at the edge. The goal of this session is to learn new ways of developing scene understanding needed for action and interaction in public spaces or smart homes. The capture, recognition and understanding of all external and internal degrees of freedom of persons and objects and of their respective states give the full information of the observed space.
While hemispherical vision provides advantages for wide-area coverage from a single point of observation, it also introduces new challenges due to its distinct projection geometry. At the example of 3-dimensional people detection and posture recognition, we explain different approaches to use deep neural networks to extract information from hemispherical RGB-D data. The talk focuses on providing an overview over methods, which attendees can be apply to custom projects and run on Jetson in real-time.

Experience how to make spaces aware of the situation of people and objects. Explore new techniques to build real-time systems that can understand scenes with the help of hemispherical point clouds and AI at the edge. The goal of this session is to learn new ways of developing scene understanding needed for action and interaction in public spaces or smart homes. The capture, recognition and understanding of all external and internal degrees of freedom of persons and objects and of their respective states give the full information of the observed space.
While hemispherical vision provides advantages for wide-area coverage from a single point of observation, it also introduces new challenges due to its distinct projection geometry. At the example of 3-dimensional people detection and posture recognition, we explain different approaches to use deep neural networks to extract information from hemispherical RGB-D data. The talk focuses on providing an overview over methods, which attendees can be apply to custom projects and run on Jetson in real-time.

  Back
 
Topics:
Intelligent Video Analytics
Type:
Talk
Event:
GTC Europe
Year:
2018
Session ID:
E8355
Streaming:
Download:
Share:
 
 
Previous
  • Amazon Web Services
  • IBM
  • Cisco
  • Dell EMC
  • Hewlett Packard Enterprise
  • Inspur
  • Lenovo
  • SenseTime
  • Supermicro Computers
  • Synnex
  • Autodesk
  • HP
  • Linear Technology
  • MSI Computer Corp.
  • OPTIS
  • PNY
  • SK Hynix
  • vmware
  • Abaco Systems
  • Acceleware Ltd.
  • ASUSTeK COMPUTER INC
  • Cray Inc.
  • Exxact Corporation
  • Flanders - Belgium
  • Google Cloud
  • HTC VIVE
  • Liqid
  • MapD
  • Penguin Computing
  • SAP
  • Sugon
  • Twitter
Next