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Multi-Bernoulli Tracking Approach for Occupancy Monitoring of Smart Buildings Using Low-Resolution Infrared Sensor Array
- Source :
- Remote Sensing, Vol 13, Iss 3127, p 3127 (2021), Remote Sensing; Volume 13; Issue 16; Pages: 3127
- Publication Year :
- 2021
- Publisher :
- MDPI AG, 2021.
-
Abstract
- Knowledge about the indoor occupancy is one of the important sources of information to design smart buildings. In some applications, the number of occupants in each zone is required. However, there are many challenges such as user privacy, communication limit, and sensor’s computational capability in development of the occupancy monitoring systems. In this work, a people flow counting algorithm has been developed which uses low-resolution thermal images to avoid any privacy concern. Moreover, the proposed scheme is designed to be applicable for wireless sensor networks based on the internet-of-things platform. Simple low-complexity image processing techniques are considered to detect possible objects in sensor’s field of view. To tackle the noisy detection measurements, a multi-Bernoulli target tracking approach is used to track and finally to count the number of people passing the area of interest in different directions. Based on the sensor node’s processing capability, one can consider either a centralized or a full in situ people flow counting system. By performing the tracking part either in sensor node or in a fusion center, there would be a trade off between the computational complexity and the transmission rate. Therefore, the developed system can be performed in a wide range of applications with different processing and transmission constraints. The accuracy and robustness of the proposed method are also evaluated with real measurements from different conducted trials and open-source dataset. Smart Facility Management with IoT.
- Subjects :
- Computer science
Science
Real-time computing
smart building
Image processing
Signalbehandling
Remote Sensing
Sensor array
Robustness (computer science)
infrared sensor array
Inbäddad systemteknik
Fjärranalysteknik
Fusion center
Building automation
business.industry
random finite set
Transmission (telecommunications)
multi-target tracking
Sensor node
occupancy detection
Signal Processing
General Earth and Planetary Sciences
business
Embedded Systems
Wireless sensor network
Subjects
Details
- Language :
- English
- ISSN :
- 20724292
- Volume :
- 13
- Issue :
- 3127
- Database :
- OpenAIRE
- Journal :
- Remote Sensing
- Accession number :
- edsair.doi.dedup.....27059c931af2bc45084e1fa536df1a43