Title
Sensors, vision and networks: From video surveillance to activity recognition and health monitoring.
Abstract
This paper presents an overview of the state of the art of three different fields with the shared characteristics of making use of a network of sensors, with the possible application of computer vision, signal processing, and machine learning algorithms. Namely, the paper first reports the state of the art and possible future directions for Intelligent Video Surveillance (IVS) applications, by recaping the history of the field in terms of hardware and algorithmic progresses. Then, the existing technologies of Wireless Sensor Networks (WSNs) are compared and described. Their applications to human activity recognition (HAR), both from a single or multiple sensors perspectives, are described and classified, followed by the current research trends and challenges. Finally, recent advances on camera-based health monitoring (including vision-based Ambient Assisted Living and patient monitoring, and camera-based physiological measurements) are described in full details, with the challenges faced.
Year
DOI
Venue
2019
10.3233/AIS-180510
JOURNAL OF AMBIENT INTELLIGENCE AND SMART ENVIRONMENTS
Keywords
Field
DocType
Intelligent video surveillance,wireless sensor networks,human activity recognition,camera-based health monitoring
Activity recognition,Computer science,Human–computer interaction
Journal
Volume
Issue
ISSN
11
1
1876-1364
Citations 
PageRank 
References 
4
0.38
0
Authors
3
Name
Order
Citations
PageRank
A. Prati1123880.43
Caifeng Shan2168180.01
Kevin I-Kai Wang316729.65