An Empirical Study of CNN-LSTM on Class Imbalance Datasets for Violence Video Detection-Reference-Cited by-同舟云学术

An Empirical Study of CNN-LSTM on Class Imbalance Datasets for Violence Video Detection

Published:2021-10-05 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2021 International Conference on Computer, Control, Informatics and Its Applications
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Author:

Soeleman Moch Arief¹,Supriyanto Catur¹,Prabowo Dwi Puji¹

Affiliation:

1. University of Dian Nuswantoro, Indonesia

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3489088.3489126

Reference13 articles.

1. Multi-frame feature-fusion-based model for violence detection

2. Hugo Calderon-Vilca , Kent Cuadros Ramos , Elmer Diaz Quiroz , Jorge Angeles Rojas , René Calderon Vilca , and Alejandro Apaza Tarqui . 2021 . The Best Model of Convolutional Neural Networks Combined with LSTM for the Detection of Interpersonal Physical Violence in Videos. In 29th Conference of Open Innovations Association (FRUCT). Hugo Calderon-Vilca, Kent Cuadros Ramos, Elmer Diaz Quiroz, Jorge Angeles Rojas, René Calderon Vilca, and Alejandro Apaza Tarqui. 2021. The Best Model of Convolutional Neural Networks Combined with LSTM for the Detection of Interpersonal Physical Violence in Videos. In 29th Conference of Open Innovations Association (FRUCT).

3. Entropy-based fuzzy support vector machine for imbalanced datasets

4. Local Learning With Deep and Handcrafted Features for Facial Expression Recognition

5. Violent flows: Real-time detection of violent crowd behavior

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