Recognition of articulated roberts in the RoboCup domain

Authors:
Luigi Cinque;Enver Sangineto;Steven Tanimoto
Affiliations:
Computer Science Department, University of Rome "La Sapiensa", Rome, Italy;Computer Science Department, University of Rome "La Sapiensa", Rome, Italy;Department of Computer Science and Engineering University of Washington, Seattle, WA
Venue:
Machine Graphics & Vision International Journal
Year:
2006

Citing 7
Cited 0

HYPER: A New Approach for the Recognition and Positioning of Two-Dimensional Objects

IEEE Transactions on Pattern Analysis and Machine Intelligence
Object recognition by computer: the role of geometric constraints

Object recognition by computer: the role of geometric constraints
Recognizing solid objects by alignment with an image

International Journal of Computer Vision
Visual Interpretation of Hand Gestures for Human-Computer Interaction: A Review

IEEE Transactions on Pattern Analysis and Machine Intelligence
A survey of computer vision-based human motion capture

Computer Vision and Image Understanding - Modeling people toward vision-based underatanding of a person's shape, appearance, and movement
Detecting Faces in Images: A Survey

IEEE Transactions on Pattern Analysis and Machine Intelligence
Body plans

CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper presents a system for articulated object recognition. The system has been tested in the RoboCup domain (four-legged league), an international competition among autonomous doglike robots playing soccer. Nevertheless, the proposed method does not depend on any specific domain, but is thought to be applicable to generic objects composed of rigid subparts linked by rotational and/or translational joints.