Anomaly Detection System in Video Surveillance using Deep Learning Techniques

In the field of video surveillance analysis, anomaly detection is an essential task to en- sure public protection throughout detecting frames which tend to contain unusual events such as robberies, assaults, fights, among others. Recently, Convolutional Neural Network (CNN), a category of deep learn...

• 第一著者: Aguilera Jaramillo, Mauricio Andres (author)
• その他の著者: Armijos Bustamante, Daniel Alejandro (author)
• フォーマット: bachelorThesis
• 言語: eng
• 出版事項: 2020
• 主題: Video Classification; Computer Vision; Anomaly Detection; Con- volutional Neural Networks; Clasificación de vídeo; Visión por computadora; Detección de anomalías; Redes neuronales convolucionales
• オンライン･アクセス: http://repositorio.yachaytech.edu.ec/handle/123456789/183