Housebreaking crime gait pattern classification using artificial neural network and support vector machine
The rate of crime is worsen and has led to a growing number of studies on human identification namely gait recognition. Hence, this study focused on the normal and anomalous behavior at the gate of residential units based on gait features extracted using Kinect sensor. Firstly, dataset of housebreak...
| Published in: | Journal of Theoretical and Applied Information Technology |
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| Main Author: | |
| Format: | Article |
| Language: | English |
| Published: |
Little Lion Scientific
2020
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| Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85090516529&partnerID=40&md5=13884737cd33a0a6ea6cbc12aa349b7b |