SciTePress - Affiliation Profile

Research.Publish.Connect.

*Please fill out at least one Field. *Value must be an number!

Title:
ISBN:
Year:
Acronym:
Subject:

Advanced Search Proceedings Search

If you're looking for an exact phrase use quotation marks on text fields.

*Please fill out at least one Field.

Title:
Author:
Affiliation:
Subject:

Advanced Search Papers Search

If you're looking for an exact phrase use quotation marks on text fields.

*Please fill out at least one Field.

Name:
Affiliation:
Country:
Conference:
Subject:

Advanced Search Authors Search

If you're looking for an exact phrase use quotation marks on text fields.

*Please fill out at least one Field.

Name:
Country:
Subject:

Advanced Search Affiliations Search

If you're looking for an exact phrase use quotation marks on text fields.

Proceedings

Proceedings Search *Please fill out at least one Field. *Value must be an number!

Title:
ISBN:
Year:
Acronym:
Subject:

Advanced Search Proceedings Search

If you're looking for an exact phrase use quotation marks on text fields.

Papers

Papers Search *Please fill out at least one Field.

Title:
Author:
Affiliation:
Subject:

Advanced Search Papers Search

If you're looking for an exact phrase use quotation marks on text fields.

Authors

Authors Search *Please fill out at least one Field.

Name:
Affiliation:
Country:
Conference:
Subject:

Advanced Search Authors Search

If you're looking for an exact phrase use quotation marks on text fields.

Advanced Search

Affiliation

Machine Vision and Perception Group of Faculty of Informatics, Technische Universität München, Boltzmannstr 3, Garching bei München, Germany

Context (please use complete words only)

Field

Sort by

1 Papers

Labelling of Continuous Dynamic Interactions with the Environment using a Dynamic Model Representation

Topics: Event and Human Activity Recognition; Optical Flow and Motion Analyses

Authors: Juan C. Ramirez and Darius Burschka

Affiliation: Machine Vision and Perception Group of Faculty of Informatics, Technische Universität München, Boltzmannstr 3, Garching bei München, Germany

Digital Object Identifier: 10.5220/0008986407940800

Proceedings of VISAPP 2020/VISIGRAPP, ISBN: 978-989-758-402-2

Quick Abstract

We propose an extension for a dynamic 3D model that allows a hieratchical labeling of continuous interactions in scenes. While most systems focus on labels for pure transportation tasks, we show how Atlas information attached to objects identified in the scene can be used to label not only transportation tasks but also physical interactions, like writing, erasing a board, tightning a screw etc. We analyse the dynamic motion observed by a camera system at different abtraction levels ranging from simple motion primitives, over single physical actions to complete processes. The associated observation time horizons range from single turning motion on the screws tightened during a task over the process of inserting screws to the entire process of building a device. The complexity and the time horizon for possible predictions about actions in the scene increase with the abstraction level. We present the extension at the example of typical tasks observed by a camera, like writing and erasing a whiteboard.