People detection and stereoscopic analysis using MAS

Authors:
S. Rodriguez;O. Gil;F. de la Prieta;C. Zato;J. M. Corchado;P. Vega;M. Francisco
Affiliations:
University of Salamanca, Salamanca, Spain;University of Salamanca, Salamanca, Spain;University of Salamanca, Salamanca, Spain;University of Salamanca, Salamanca, Spain;University of Salamanca, Salamanca, Spain;University of Salamanca, Salamanca, Spain;University of Salamanca, Salamanca, Spain
Venue:
INES'10 Proceedings of the 14th international conference on Intelligent engineering systems
Year:
2010

Citing 6
Cited 0

A Computational Approach to Edge Detection

IEEE Transactions on Pattern Analysis and Machine Intelligence
Feature Detection with Automatic Scale Selection

International Journal of Computer Vision
Object Recognition from Local Scale-Invariant Features

ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
Histograms of Oriented Gradients for Human Detection

CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
Histogram of oriented rectangles: A new pose descriptor for human action recognition

Image and Vision Computing
Human detection using oriented histograms of flow and appearance

ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part II

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper presents a multiagent system that can process stereoscopic images and detect people with a stereo camera. In the first of two phases, the system creates a model of the environment using a disparity map. It can be constructed in real time, even if there are moving objects present in the area (such as people passing by). In the second phase, the system is able to detect people by combining a series of novel techniques. A multi-agent system (MAS) is used to deal with the problem. The system is based on cooperative and distributed mechanisms and was tested under different conditions and environments.