Abstract
Real-time occupancy monitoring information is an important component in building energy management and security. Advances in technology enables us to develop vision-based systems. These systems have gained popularity among different scientific research communities due to their high accuracy. Based on real-time video from a single camera, people occupancy rates in buildings can be correctly estimated using neural network models. This paper proposes an intelligent real-time bidirectional system, using Random Neural Network (RNN) predictions. An overhead camera was used to capture RGB images and the number of people crossing a virtual line was counted using the proposed counting technique. The proposed algorithm extracts some important features such as occupant blob areas, major axis, minor axis, eccentricity, perimeters and area-perimeter ratio for total 1000 frames. Finally, a RNN model is trained with aforementioned features using a gradient decent algorithm. Real-time experimental results show the effectiveness of the proposed method, especially when occupants are in group and blob merge/split scenarios. Real-time testing revealed an accuracy between 100 and 93.38% for single and multiple occupants, respectively.
Original language | English |
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Title of host publication | Intelligent Systems and Applications: Proceedings of the 2018 Intelligent Systems Conference (IntelliSys) Volume 2 |
Editors | Kohei Arai, Supriya Kapoor, Rahul Bhatia |
Publisher | Springer Nature |
Pages | 957-969 |
Number of pages | 13 |
Volume | 869 |
ISBN (Electronic) | 9783030010577 |
ISBN (Print) | 9783030010560 |
DOIs | |
Publication status | Published - 2019 |
Event | Intelligent Systems Conference 2018 - London, United Kingdom Duration: 6 Sept 2018 → 7 Sept 2018 https://saiconference.com/Conferences/IntelliSys2018 |
Publication series
Name | Advances in Intelligent Systems and Computing |
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Publisher | Springer |
Volume | 869 |
ISSN (Print) | 2194-5357 |
ISSN (Electronic) | 2194-5365 |
Conference
Conference | Intelligent Systems Conference 2018 |
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Abbreviated title | IntelliSys 2018 |
Country/Territory | United Kingdom |
City | London |
Period | 6/09/18 → 7/09/18 |
Internet address |
Keywords
- occupancy
- video camera
- video processing
- neural network
- image features
- blob areas
- Kalman filter
ASJC Scopus subject areas
- Control and Systems Engineering
- General Computer Science