DALES: Automated Tool for Detection, Annotation, Labelling and Segmentation of Multiple Objects in Multi-Camera Video Streams

Bhat, M. and Olszewska, Joanna Isabelle (2014) DALES: Automated Tool for Detection, Annotation, Labelling and Segmentation of Multiple Objects in Multi-Camera Video Streams. In: Proceedings of the 25th International Conference on Computational Linguistics, August 23-29 2014, Dublin. (Unpublished)

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Abstract

In this paper, we propose a new software tool called DALES to extract semantic information from multi-view videos based on the analysis of their visual content. Our system is fully automatic and is well suited for multi-camera environment. Once the multi-view video sequences are loaded into DALES, our software performs the detection, counting, and segmentation of the visual objects evolving in the provided video streams. Then, these objects of interest are processed in order to be labelled, and the related frames are thus annotated with the corresponding semantic content. Moreover, a textual script is automatically generated with the video annotations. DALES system shows excellent performance in terms of accuracy and computational speed and is robustly designed to ensure view synchronization.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Multi-view video annotation, Detection, Annotation, LabElling and Segmentation (DALES) software tool.
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Subjects: Q Science > QA Mathematics > QA76 Computer software
Divisions: Schools and Research Institutes > School of Computing and Technology > Technical Computing
Research Priority Areas: Innovation, Design and Technology
Depositing User: Susan Turner
Date Deposited: 25 Jan 2016 09:43
Last Modified: 07 Oct 2016 06:12
URI: http://eprints.glos.ac.uk/id/eprint/3023

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