A Vision-Based Approach for Controlling User Interfaces of Mobile Devices

Authors:
Jari Hannuksela;Pekka Sangi;Janne Heikkila
Affiliations:
University of Oulu, Finland;University of Oulu, Finland;University of Oulu, Finland
Venue:
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Workshops - Volume 03
Year:
2005

Citing 0
Cited 7

Mobile camera-based adaptive viewing

MUM '05 Proceedings of the 4th international conference on Mobile and ubiquitous multimedia
Fast camera motion estimation for hand-held devices and applications

MUM '05 Proceedings of the 4th international conference on Mobile and ubiquitous multimedia
Camera phone based motion sensing: interaction techniques, applications and performance study

UIST '06 Proceedings of the 19th annual ACM symposium on User interface software and technology
A lightweight approach for augmented reality on camera phones using 2D images to simulate 3D

Proceedings of the 6th international conference on Mobile and ubiquitous multimedia
PEYE: toward a visual motion based perceptual interface for mobile devices

HCI'07 Proceedings of the 2007 IEEE international conference on Human-computer interaction
Camera-Based virtual environment interaction on mobile devices

ISCIS'06 Proceedings of the 21st international conference on Computer and Information Sciences
Mobile camera-based user interaction

ICCV'05 Proceedings of the 2005 international conference on Computer Vision in Human-Computer Interaction

Quantified Score

Hi-index	0.00

Visualization

Abstract

Pedestrian detection is a challenging vision task, especially applied to the automotive field where the background changes as the vehicle moves. This paper presents an extensive study upon human body models and the techniques suitable for being used ...