loading
Papers

Research.Publish.Connect.

Paper

Paper Unlock

Authors: D.P. Dogra 1 ; R. D. Reddy 1 ; K.S. Subramanyam 2 ; A. Ahmed 3 and H. Bhaskar 4

Affiliations: 1 School of Electrical Sciences and Indian Institute of Technology, India ; 2 National Institute of Technology, India ; 3 Haldia Institute of Technology, India ; 4 Khalifa University of Science Technology and Research, United Arab Emirates

ISBN: 978-989-758-090-1

Keyword(s): Scene Representation, Anomalous Activity Detection, Region Association Graph, Importance, Scene Segmentation, Graph Theory, Trajectory Analysis, Behaviour Analysis, Scene Understanding, Visual Surveillance.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Motion, Tracking and Stereo Vision ; Video Surveillance and Event Detection

Abstract: In this paper we present a novel method for anomalous activity detection using systematic trajectory analysis. First, the visual scene is segmented into constituent regions by attaching importances based on motion dynamics of targets in that scene. Further, a structured representation of these segmented regions in the form of a region association graph (RAG) is constructed. Finally, anomalous activity is detected by benchmarking the target’s trajectory against the RAG. We have evaluated our proposed algorithm and compared it against competent baselines using videos from publicly available as well as in-house datasets. Our results indicate high accuracy in localizing anomalous segments and demonstrate that the proposed algorithm has several compelling advantages when applied to scene analysis in autonomous visual surveillance.

PDF ImageFull Text

Download
CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 34.237.51.35

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Dogra, D.; Reddy, R.; Subramanyam, K.; Ahmed, A. and Bhaskar, H. (2015). Scene Representation and Anomalous Activity Detection using Weighted Region Association Graph.In Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 3: VISAPP, (VISIGRAPP 2015) ISBN 978-989-758-090-1, pages 104-112. DOI: 10.5220/0005305101040112

@conference{visapp15,
author={D.P. Dogra. and R. D. Reddy. and K.S. Subramanyam. and A. Ahmed. and H. Bhaskar.},
title={Scene Representation and Anomalous Activity Detection using Weighted Region Association Graph},
booktitle={Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 3: VISAPP, (VISIGRAPP 2015)},
year={2015},
pages={104-112},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005305101040112},
isbn={978-989-758-090-1},
}

TY - CONF

JO - Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 3: VISAPP, (VISIGRAPP 2015)
TI - Scene Representation and Anomalous Activity Detection using Weighted Region Association Graph
SN - 978-989-758-090-1
AU - Dogra, D.
AU - Reddy, R.
AU - Subramanyam, K.
AU - Ahmed, A.
AU - Bhaskar, H.
PY - 2015
SP - 104
EP - 112
DO - 10.5220/0005305101040112

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.