Abnormal Event Detection in Surveillance Videos Using Spatiotemporal Autoencoder
This research presents an efficient method for detecting anomalies in videos. Recent applications of convolutional neural networks have shown promises of convolutional layers for object detection and recognition, especially in images. However, convolutional neural networks are supervised and require...
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| Format: | Final Year Project / Dissertation / Thesis |
| Published: |
2019
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| Online Access: | http://eprints.utar.edu.my/3627/1/ESA%2D2019%2D1406689%2D1.pdf http://eprints.utar.edu.my/3627/ |
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