Audio-visual multi-modality driven hybrid feature learning model for crowd analysis and classification

Audio-visual multi-modality driven hybrid feature learning model for crowd analysis and classification

The high pace emergence in advanced software systems, low-cost hardware and decentralized cloud computing technologies have broadened the horizon for vision-based surveillance, monitoring and control. However, complex and inferior feature learning over visual artefacts or video streams, especially u...

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Bibliographic Details
Main Authors: H. Y. Swathi, G. Shivakumar
Format: Article
Language:English
Published: AIMS Press 2023-05-01
Series:Mathematical Biosciences and Engineering
Subjects:
multi-modal crowd analysis
deep-spatio-temporal features
acoustic features
ensemble learning
audio-visual crowd classification
Online Access:https://www.aimspress.com/article/doi/10.3934/mbe.2023558?viewType=HTML

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https://www.aimspress.com/article/doi/10.3934/mbe.2023558?viewType=HTML

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