DocumentCode :
3723225
Title :
A Novel Fuzzy Based Home Occupant Monitoring System Using Kinect Cameras
Author :
Hossein Pazhoumand-Dar;Chiou Peng Lam;Martin Masek
Author_Institution :
Sch. of Comput. &
fYear :
2015
Firstpage :
1129
Lastpage :
1136
Abstract :
In this paper, an approach is presented for the detection of abnormal behaviours in the activities of people living alone in their homes. The proposed approach takes input from Kinect cameras and extracts a number of visual attributes that represent the occupant´s location and orientation. A set of fuzzy logic parameters is first learnt from the training data. Next the proposed approach learns epochs of activities in each location and then generates models of normal behaviour patterns. Unusual behaviour is then detected in subsequent data by looking for patterns which differ from the learnt normal behaviours based on their time of occurrence, visual attributes, or duration. Experiments conducted showed the effectiveness of the proposed system.
Keywords :
"Cameras","Monitoring","Training","Fuzzy sets","Feature extraction","Association rules"
Publisher :
ieee
Conference_Titel :
Tools with Artificial Intelligence (ICTAI), 2015 IEEE 27th International Conference on
ISSN :
1082-3409
Type :
conf
DOI :
10.1109/ICTAI.2015.160
Filename :
7372257
Link To Document :
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