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Toulouse Campus Surveillance Dataset: scenarios, soundtracks, synchronized videos with overlapping and disjoint views

Malon, Thierry and Roman Jimenez, Geoffrey and Guyot, Patrice and Chambon, Sylvie and Charvillat, Vincent and Crouzil, Alain and Péninou, André and Pinquier, Julien and Sèdes, Florence and Sènac, Christine Toulouse Campus Surveillance Dataset: scenarios, soundtracks, synchronized videos with overlapping and disjoint views. (2018) In: 9th ACM Multimedia Systems Conference (MMSys 2018), 12 June 2018 - 15 June 2018 (Amsterdam, Netherlands).

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Official URL: https://doi.org/10.1145/3204949.3208133


In surveillance applications, humans and vehicles are the most important common elements studied. In consequence, detecting and matching a person or a car that appears on several videos is a key problem. Many algorithms have been introduced and nowadays, a major relative problem is to evaluate precisely and to compare these algorithms, in reference to a common ground-truth. In this paper, our goal is to introduce a new dataset for evaluating multi-view based methods. This dataset aims at paving the way for multidisciplinary approaches and applications such as 4D-scene reconstruction, object identification/tracking, audio event detection and multi-source meta-data modeling and querying. Consequently, we provide two sets of 25 synchronized videos with audio tracks, all depicting the same scene from multiple viewpoints, each set of videos following a detailed scenario consisting in comings and goings of people and cars. Every video was annotated by regularly drawing bounding boxes on every moving object with a flag indicating whether the object is fully visible or occluded, specifying its category (human or vehicle), providing visual details (for example clothes types or colors), and timestamps of its apparitions and disappearances. Audio events are also annotated by a category and timestamps.

Item Type:Conference or Workshop Item (Paper)
Additional Information:Thanks to ACM. The definitive version is available at http://dl.acm.org This papers appears in MMSys '18 ISBN: 978-1-4503-5192-8 The original PDF is available at: https://dl.acm.org/citation.cfm?id=3208133
Audience (conference):International conference proceedings
Uncontrolled Keywords:
Institution:Université de Toulouse > Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE)
French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UT3 (FRANCE)
Université de Toulouse > Université Toulouse - Jean Jaurès - UT2J (FRANCE)
Université de Toulouse > Université Toulouse 1 Capitole - UT1 (FRANCE)
Laboratory name:
Deposited On:24 Sep 2019 13:47

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