A Novel Deep Learner for Human Behavior Prediction Over Public Video Surveillance

A Novel Deep Learner for Human Behavior Prediction Over Public Video Surveillance

Identifying human behavior effectively is essential for spotting anomalies in video surveillance systems, particularly in dynamic environments. Conventional methods frequently have significant false detection rates, which restricts their use. This paper proposes a unique framework to improve anomaly...

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Bibliographic Details
Main Authors: Bayan Alabdullah, Bisma Batool Fatima, Haifa F. Alhasson, Mohammed Alshehri, Yahya AlQahtani, Nouf Albhassabi, Hui Liu
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Activity recognition
classification
deep learning
object recognition
computer vision
statistical methods and learning algorithms
Online Access:https://ieeexplore.ieee.org/document/11036735/
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https://ieeexplore.ieee.org/document/11036735/

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