Deep learning architecture for recognition of abnormal activities-Reference-Cited by-同舟云学术

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Deep learning architecture for recognition of abnormal activities

Published:2018-04-13 Issue: Volume: Page:
ISSN:
Container-title:Tenth International Conference on Machine Vision (ICMV 2017)
language:
Short-container-title:

Author:

Ejbali Ridha,Khatrouch Marwa,Zaied Mourad,Gnouma Mariem

Publisher

SPIE

Reference22 articles.

1. The recognition of human movement using temporal templates

2. Actions as Space-time Shapes;Blank,2005

3. Spatio-temporal Shape and Flow Correlation for Action Recognition;Ke,2007

4. Behavior Recognition via Sparse Spatio-Temporal Features;Dollar,2005

5. Simultaneous tracking and action recognition using the PCA-HOG descriptor;Lu,2006

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2. Automated Violence Detection in Video Crowd Using Spider Monkey-Grasshopper Optimization Oriented Optimal Feature Selection and Deep Neural Network;Journal of Control, Automation and Electrical Systems;2022-01-03

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4. Stacked sparse autoencoder and history of binary motion image for human activity recognition;Multimedia Tools and Applications;2018-07-05

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