Unsupervised Action Proposals Using Support Vector Classifiers for Online Video Processing

Unsupervised Action Proposals Using Support Vector Classifiers for Online Video Processing

In this work, we introduce an intelligent video sensor for the problem of Action Proposals (AP). AP consists of localizing temporal segments in untrimmed videos that are likely to contain actions. Solving this problem can accelerate several video action understanding tasks, such as detection, retrie...

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Bibliographic Details
Main Authors: Marcos Baptista Ríos, Roberto Javier López-Sastre, Francisco Javier Acevedo-Rodríguez, Pilar Martín-Martín, Saturnino Maldonado-Bascón
Format: Article
Language:English
Published: MDPI AG 2020-05-01
Series:Sensors
Subjects:
action proposals
action recognition
computer vision
unsupervised learning
intelligent video sensor
Online Access:https://www.mdpi.com/1424-8220/20/10/2953

Internet

https://www.mdpi.com/1424-8220/20/10/2953

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