This article presents a distributed agent-based
system that can process the visual information obtained by
stereoscopic cameras. The system is embedded within a
global project whose objective is to develop an intelligent
environment for location and identification within dependent
environments that merges with other types of ...»»»»
This article presents a distributed agent-based
system that can process the visual information obtained by
stereoscopic cameras. The system is embedded within a
global project whose objective is to develop an intelligent
environment for location and identification within dependent
environments that merges with other types of technologies.
In this kind of environments, vision algorithms are very
costly and require a lot of time to produce a response, which
is highly inconvenient since many applications can require
action to be taken in real time. A multi-agent system (MAS)
can automate the process of analyzing images obtained by
cameras, and optimize the procedure. This study presents a MAS that can process stereoscopic images to detect and
classify people by combining a series of novel techniques.
The article shows in detail the combination of techniques
used to perform the detection process. The process can be
subdivided into human detection, human tracking, and human
behavior understanding. With the addition of a casebased
reasoning (CBR) model, the system can also incorporate
reasoning capabilities. The system was tested under
different conditions and environments.^^^^
Tipus:
Article
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Indexat a SCOPUS
Indexat a WOS/JCR
Drets:
(c) Springer (The original publication is available at www.springerlink.com)
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Citació Bibliogràfica:
Marti Puig, P., Rodriguez, S., De Paz, J. F., Reig Bolaño, R., Rubio, M. P., & Bajo, J. (2012). Stereo Video Surveillance Multi-agent System: New Solutions for Human Motion Analysis. Journal of Mathematical Imaging and Vision, 42(2-3), 176-195.