Title
Agents and computer vision for processing stereoscopic images
Abstract
This paper presents a Multi-Agent System (MAS) that implements techniques of Computer Vision for processing stereoscopic images by using stereo cameras The MAS focuses on detecting people and their behavior through a two-phase method In the first phase, the MAS creates a model of the environment by using a disparity map It can be constructed in real time, even if there are moving objects in the area (such as people passing by) In the second phase, the MAS is able to detect people and their behavior by combining a series of techniques such as Sum of Absolute Differences (SAD) or Gradient Orientation Histograms (HOG) The preliminary results and conclusions after several experiments performed on real scenarios are described in this paper.
Year
DOI
Venue
2010
10.1007/978-3-642-13803-4_12
HAIS (2)
Keywords
Field
DocType
disparity map,computer vision,gradient orientation histograms,stereoscopic image,preliminary result,real scenario,absolute differences,stereo camera,real time,multi-agent system,multi agent systems,multi agent system
Stereo processing,Stereo cameras,Computer vision,Histogram,Computer graphics (images),Stereoscopy,Computer science,Multi-agent system,Artificial intelligence,Sum of absolute differences
Conference
Volume
ISSN
ISBN
6077
0302-9743
3-642-13802-0
Citations 
PageRank 
References 
13
0.56
12
Authors
4
Name
Order
Citations
PageRank
Sara Rodríguez129817.71
Fernando De la Prieta226341.90
Dante I. Tapia353537.92
Juan M. Corchado42899239.10