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Authors: D. P. Dogra 1 ; A. Ahmed 2 and H. Bhaskar 3

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

Keyword(s): Interest Area Detection, Trajectory Analysis, Surveillance, Clustering.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Image and Video Analysis ; Segmentation and Grouping ; Visual Attention and Image Saliency

Abstract: In this paper, a method for detecting and localizing interest areas in a surveillance scene by analyzing the motion trajectories of multiple interacting targets, is proposed. Our method is based on a theoretical model representing the importance distribution of different areas (represented as a rectangular blocks) present in a surveillance scene. The importance of each block is modeled as a function of the total time spent by multiple targets and their relative velocity whilst passing through the blocks. Extensive experimentation and statistical validation with empirical data has shown that the proposed method follows the process of the theoretical model. The accuracy of our method in localizing interest areas has been verified and its superiority demonstrated against baseline methods using the publicly available: CAVIAR, ViSOR datasets and a scenario-specific in-house surveillance dataset.

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Paper citation in several formats:
Dogra, D.; Ahmed, A. and Bhaskar, H. (2015). Interest Area Localization using Trajectory Analysis in Surveillance Scenes. In Proceedings of the 10th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2015) - Volume 3: VISAPP; ISBN 978-989-758-090-1; ISSN 2184-4321, SciTePress, pages 478-485. DOI: 10.5220/0005334704780485

@conference{visapp15,
author={D. P. Dogra. and A. Ahmed. and H. Bhaskar.},
title={Interest Area Localization using Trajectory Analysis in Surveillance Scenes},
booktitle={Proceedings of the 10th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2015) - Volume 3: VISAPP},
year={2015},
pages={478-485},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005334704780485},
isbn={978-989-758-090-1},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 10th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2015) - Volume 3: VISAPP
TI - Interest Area Localization using Trajectory Analysis in Surveillance Scenes
SN - 978-989-758-090-1
IS - 2184-4321
AU - Dogra, D.
AU - Ahmed, A.
AU - Bhaskar, H.
PY - 2015
SP - 478
EP - 485
DO - 10.5220/0005334704780485
PB - SciTePress

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