Treffer: Multi-property tensor-based learning for abnormal event detection
Title:
Multi-property tensor-based learning for abnormal event detection
Authors:
Publisher Information:
Springer International Publishing
Publication Year:
2022
Collection:
University of Malta: OAR@UM / L-Università ta' Malta
Subject Terms:
Document Type:
Konferenz
conference object
Language:
English
DOI:
10.1007/978-3-031-20713-6_25
Availability:
Rights:
info:eu-repo/semantics/restrictedAccess ; The copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holder.
Accession Number:
edsbas.5E36BC33
Database:
BASE
Weitere Informationen
In this paper, we propose a novel abnormal event detection scheme for video surveillance systems using an unsupervised learning process. Our contribution includes intra and inter property feature encoding to reduce information redundancy within (intra) and across (inter) image features. Intra property encoding is carried out using convolutional auto-encoders. Inter-property encoding is performed using an unsupervised tensor-based learning mode to handle the dimensionality issue arising in cases when different properties are inter-related together. Comprehensive experiments are performed on two benchmarks:Avenue, and ShanghaiTech. ; peer-reviewed