University of Oulu

Praneeth Susarla, Utkarsh Agrawal, and Dinesh Babu Jayagopi. 2018. Human Weapon-Activity Recognition in Surveillance Videos Using Structural-RNN. In Proceedings of Mediterranean Conference on Pattern Recognition and Artificial Intelligence, Rabat, Morocco, March 27–28, 2018 (MedPRAI ’18), 7 pages. https://doi.org/10.1145/3177148.3180080

Human weapon-activity recognition in surveillance videos using structural-RNN

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Author: Susarla, Praneeth1; Agrawal, Utkarsh2; Jayagopi, Dinesh Babu2
Organizations: 1University of Oulu, Oulu, Finland
2IIITBangalore, Bangalore, India
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 1.7 MB)
Persistent link: http://urn.fi/urn:nbn:fi-fe2019040310909
Language: English
Published: Association for Computing Machinery, 2018
Publish Date: 2019-04-03
Description:

Abstract

In today's world, video surveillance systems play a vital role in commercial and industrial environments. The important goal of a surveillance activity is to observe suspicious behavior of humans and objects in a scene using camera or other sensors. Most of the current surveillance systems perform such activities by identifying persons, tracking their individual paths independently, not in conjunction with the objects in the scene. However, in a real world surveillance scenario, the behavior of people and their interaction with objects need to be modeled to reason about suspicious activities. Our contribution, through this work is in using the state-of-the-art Structural Recurrent Neural Networks (SRNN) method to model the complex spatio-temporal human-object interactions in surveillance. Our best results have a final F₁ score of 87.3 on the human sub-activity recognition task and 82.7 on the object affordances recognition task. Our work considered weapons as objects of interest.

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ISBN Print: 978-1-4503-5290-1
Pages: 101 - 107
DOI: 10.1145/3177148.3180080
OADOI: https://oadoi.org/10.1145/3177148.3180080
Host publication: Proceedings of the 2nd Mediterranean Conference on Pattern Recognition and Artificial Intelligence - MedPRAI '18
Host publication editor: El Youssfi El Kettani, Mohammed
Djeddi, Chawki
Siddiqi, Imran
Hannad, Yaacoub
Pal, Sankar Kumar
Conference: Mediterranean Conference on Pattern Recognition and Artificial Intelligence
Type of Publication: A4 Article in conference proceedings
Field of Science: 113 Computer and information sciences
Subjects:
Copyright information: © 2018 Association for Computing Machinery. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in MedPRAI '18 Proceedings of the 2nd Mediterranean Conference on Pattern Recognition and Artificial Intelligence, https://doi.org/10.1145/3177148.3180080.