Investigating 3D convolutional layers as feature extractors for anomaly detection systems applied to surveillance videos (2021)
- Authors:
- USP affiliated authors: MELLO, RODRIGO FERNANDES DE - ICMC ; PONTI, MOACIR ANTONELLI - ICMC ; NAZARÉ, TIAGO SANTANA DE - ICMC
- Unidade: ICMC
- DOI: 10.5220/0010347907530762
- Subjects: APRENDIZADO COMPUTACIONAL; REDES NEURAIS; RECONHECIMENTO DE IMAGEM; VÍDEO
- Keywords: Video Surveillance; Unusual Event Detection; Deep Learning
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher: SciTePress
- Publisher place: Lisboa
- Date published: 2021
- Source:
- Título: Proceedings
- Conference titles: International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - VISIGRAPP
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
NAZARÉ, Tiago Santana de e MELLO, Rodrigo Fernandes de e PONTI, Moacir Antonelli. Investigating 3D convolutional layers as feature extractors for anomaly detection systems applied to surveillance videos. 2021, Anais.. Lisboa: SciTePress, 2021. Disponível em: https://doi.org/10.5220/0010347907530762. Acesso em: 25 fev. 2026. -
APA
Nazaré, T. S. de, Mello, R. F. de, & Ponti, M. A. (2021). Investigating 3D convolutional layers as feature extractors for anomaly detection systems applied to surveillance videos. In Proceedings. Lisboa: SciTePress. doi:10.5220/0010347907530762 -
NLM
Nazaré TS de, Mello RF de, Ponti MA. Investigating 3D convolutional layers as feature extractors for anomaly detection systems applied to surveillance videos [Internet]. Proceedings. 2021 ;[citado 2026 fev. 25 ] Available from: https://doi.org/10.5220/0010347907530762 -
Vancouver
Nazaré TS de, Mello RF de, Ponti MA. Investigating 3D convolutional layers as feature extractors for anomaly detection systems applied to surveillance videos [Internet]. Proceedings. 2021 ;[citado 2026 fev. 25 ] Available from: https://doi.org/10.5220/0010347907530762 - Machine learning: a practical approach on the statistical learning theory
- Color quantization in transfer learning and noisy scenarios: an empirical analysis using convolutional networks
- Unusual Event Detection in Surveillance Videos
- Automation of article selection process in systematic reviews through artificial neural network modeling and machine learning: protocol for an article selection model
- Mobile inertial sensors for fall risk screening and prediction
- A decision cognizant Kullback-Leibler divergence
- Deep manifold alignment for mid-grain sketch based image retrieval
- Como funciona o deep learning
- Sketching out the details: sketch-based image retrieval using convolutional neural networks with multi-stage regression
- Generalization of feature embeddings transferred from different video anomaly detection domains
Informações sobre o DOI: 10.5220/0010347907530762 (Fonte: oaDOI API)
Download do texto completo
| Tipo | Nome | Link | |
|---|---|---|---|
 |
3020026.pdf | Direct link |
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
