Skip to main content
Disciplines
Automotive Business IT + Informatics Construction + Real Estate Electrical Engineering + Electronics Energy + Sustainability Insurance + Risk Finance + Banking Management + Leadership Marketing + Sales Mechanical Engineering + Materials
Events
DE
EN
Books
Journals
Topic Page
Marketing
Start single access now
Access for companies
EXTENDED SEARCH
Log in
Top
Published in:
Comparative Analysis of Question Answering Models for HRI Tasks with NAO in Spanish Read chapter Read first chapter

2021 | OriginalPaper | Chapter

Static Summarization Using Pearson’s Coefficient and Transfer Learning for Anomaly Detection for Surveillance Videos

Authors : Steve Willian Chancolla-Neira, César Ernesto Salinas-Lozano, Willy Ugarte

Published in: Information Management and Big Data

Publisher: Springer International Publishing

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

Data storage has been a problem as technology advances, there are more devices capable of capturing images, sounds, videos, etc. On the security side, many people choose to use security cameras that are available 24 h a day to capture anomalous events and maintain the security of the area, however, storing all captured videos generates high costs, as well as the prolonged analysis that this type of videos implies. For this reason, we propose a method that allows selecting only the important events captured by a video surveillance camera and then classifying them among the types of most constant criminal acts in Peru.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

inform now
previous chapter Multi-class Vehicle Detection and Automatic License Plate Recognition Based on YOLO in Latin American Context
next chapter Humpback Whale’s Flukes Segmentation Algorithms
Footnotes
2
Magazine “Lima como Vamos” - https://​bit.​ly/​394n6i3.
 
5
“Lima como Vamos” - https://​bit.​ly/​2BAdj78.
 
Literature
1.
Bansod, S.D., Nandedkar, A.V.: Transfer learning for video anomaly detection. J. Intell. Fuzzy Syst. 36, 1967–1975 (2019)
2.
Boslaugh, S., Watters, P.A.: Statistics in a Nutshell. O’Reilly, Farnham (2008)
3.
Chen, X., Xu, X., Yang, Y., Wu, H., Tang, J., Zhao, J.: Augmented ship tracking under occlusion conditions from maritime surveillance videos. IEEE Access 8, 42884–42897 (2020)
4.
Chen, Z., Li, W., Fei, C., Liu, B., Yu, N.: Robust anomaly detection via fusion of appearance and motion features. In: VCIP (2018)
5.
Cheng, Y., et al.: An anomaly comprehension neural network for surveillance videos on terminal devices. In: DATE (2020)
6.
dos Santos Belo, L., Caetano Jr., C.A., Gonçalves do Patrocínio Jr., Z.K., Ferzoli Guimarães, S.J.: Summarizing video sequence using a graph-based hierarchical approach. Neurocomputing. 173, 1001–1016 (2016)
7.
Fontes de Avila, S.E., Brandão Lopes, A.P., da Luz Jr., A., de Albuquerque Araújo, A.: VSUMM: a mechanism designed to produce static video summaries and a novel evaluation method. Pattern Recognit. Lett. 32, 56–68 (2011)
8.
Goodfellow, I.J., Bengio, Y., Courville, A.C.: Deep Learning. Adaptive Computation and Machine Learning, MIT Press, Cambridge (2016)MATH
9.
Nguyen, T., Meunier, J.: Anomaly detection in video sequence with appearance-motion correspondence. In: ICCV (2019)
10.
Panda, R., Das, A., Wu, Z., Ernst, J., Roy-Chowdhury, A.K.: Weakly supervised summarization of web videos. In: ICCV (2017)
11.
Sandler, M., Howard, A.G., Zhu, M., Zhmoginov, A., Chen, L.: MobileNetV2: inverted residuals and linear bottlenecks. In: CVPR (2018)
12.
Singh, K., Rajora, S., Vishwakarma, D.K., Tripathi, G., Kumar, S., Walia, G.S.: Crowd anomaly detection using aggregation of ensembles of fine-tuned convnets. Neurocomputing 371, 188–198 (2020)
13.
Song, X., Sun, L., Lei, J., Tao, D., Yuan, G., Song, M.: Event-based large scale surveillance video summarization. Neurocomputing 187, 66–74 (2016)
14.
Sultani, W., Chen, C., Shah, M.: Real-world anomaly detection in surveillance videos. In: CVPR (2018)
15.
Truong, B.T., Venkatesh, S.: Video abstraction: a systematic review and classification. ACM Trans. Multimedia Comput. Commu. Appl. 3, 3 (2007)
16.
17.
18.
Wang, X., Gao, L., Song, J., Shen, H.T.: Beyond frame-level CNN: saliency-aware 3-D CNN with LSTM for video action recognition. IEEE Signal Process. Lett. 24, 510–514 (2017)
19.
Wu, J., Zhong, S., Jiang, J., Yang, Y.: A novel clustering method for static video summarization. Multimedia Tools Appl. 76, 9625–9641 (2017)
20.
Xu, Z., Hu, J., Deng, W.: Recurrent convolutional neural network for video classification. In: ICME (2016)
21.
Zhou, J.T., Du, J., Zhu, H., Peng, X., Liu, Y., Goh, R.S.M.: AnomalyNet: an anomaly detection network for video surveillance. IEEE Trans. Inf. Forensics Secur. 14, 2537–2550 (2019)
Metadata
Title
Static Summarization Using Pearson’s Coefficient and Transfer Learning for Anomaly Detection for Surveillance Videos
Authors
Steve Willian Chancolla-Neira
César Ernesto Salinas-Lozano
Willy Ugarte
Copyright Year
2021
Book
Information Management and Big Data

Print ISBN: 978-3-030-76227-8

Electronic ISBN: 978-3-030-76228-5

Copyright Year: 2021

DOI
https://doi.org/10.1007/978-3-030-76228-5_20

Premium Partner

    Image Credits