Image Processing to Detect and Classify Situations and States of Elderly People

摘要

Abstract. Monitoring and tracking of elderly people using vision algorithms is anstrategy gaining relevance to detect anomalous and potentially dangerous situationsand react immediately. In general vision algorithms for monitoring andtracking are very costly and take a lot of time to respond, which is highly inconvenientsince many applications can require action to be taken in real time. Amulti-agent system (MAS) can establish a social model to automate the tasks carriedout by the human experts during the process of analyzing images obtained bycameras. This study presents a detector agent integrated in a MAS that can processstereoscopic images to detect and classify situations and states of elderly peoplein geriatric residences by combining a series of novel techniques. We will talkin 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 thesystem to add reasoning capabilities.