Abnormal behavior detection using sparse representations through sequential generalization of k-means

Abnormal behavior detection using sparse representations through sequential generalization of k-means

The potential capability to automatically detect and classify human behavior as either normal or abnormal events is an important aspect in intelligent monitoring/surveillance systems. This study presents a new high-performance framework for detecting behavioral abnormalities in video streams by util...

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Bibliographic Details
Main Authors: Al-Dhamari, Ahlam, Sudirman, Rubita, Mahmood, Nasrul Humaimi
Format: Article
Language:English
Published: Turkiye Klinikleri 2021
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://eprints.utm.my/id/eprint/94025/1/AhlamAlDhamari2021_AbnormalBehaviorDetectionUsingSparse.pdf
http://eprints.utm.my/id/eprint/94025/
http://dx.doi.org/10.3906/ELK-1904-187
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Institution: Universiti Teknologi Malaysia
Language: English

Internet

http://eprints.utm.my/id/eprint/94025/1/AhlamAlDhamari2021_AbnormalBehaviorDetectionUsingSparse.pdf
http://eprints.utm.my/id/eprint/94025/
http://dx.doi.org/10.3906/ELK-1904-187

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