Title
Image Processing to Detect and Classify Situations and States of Elderly People.
Abstract
Monitoring and tracking of elderly people using vision algorithms is an strategy gaining relevance to detect anomalous and potentially dangerous situations and react immediately. In general vision algorithms for monitoring and tracking are very costly and take a lot of time to respond, which is highly inconvenient since many applications can require action to be taken in real time. A multi-agent system (MAS) can establish a social model to automate the tasks carried out by the human experts during the process of analyzing images obtained by cameras. This study presents a detector agent integrated in a MAS that can process stereoscopic images to detect and classify situations and states of elderly people in geriatric residences by combining a series of novel techniques. We will talk in details about the combination of techniques used to perform the detection process, subdivided into human detection, human tracking,and human behavior understanding, and where there is a case-based reasoning (CBR) model that allows the system to add reasoning capabilities.
Year
DOI
Venue
2011
10.1007/978-3-642-19644-7_18
SOFT COMPUTING MODELS IN INDUSTRIAL AND ENVIRONMENTAL APPLICATIONS, 6TH INTERNATIONAL CONFERENCE SOCO 2011
Keywords
Field
DocType
Multi-Agent Systems,stereo processing,human detection,Case Based Reasoning
Stereo processing,Stereoscopy,Computer science,Image processing,Multi-agent system,General Vision,Artificial intelligence,Case-based reasoning,Vision algorithms,Machine learning
Conference
Volume
ISSN
Citations 
87
1867-5662
0
PageRank 
References 
Authors
0.34
16
6
Name
Order
Citations
PageRank
Ramon Reig-Bolaño185.59
Pere Martí-Puig21110.24
Javier Bajo31451118.96
Sara Rodríguez400.68
Juan Francisco de Paz539552.24
Manuel Pablo Rubio601.69