We present a new tool we have developed to ease the annotation of crowded environments, typical of visual surveillance datasets. Our tool is developed using HTML5 and Javascript and has two back-ends. A PHP based back-end implement the persistence using a relational database and manage the dynamic creation of pages and the authentication procedure. A python based REST server implement all the computer vision facilities to assist annotators. Our tool allows collaborative annotation of person identity, group membership, location, gaze and occluded parts. PACE supports multiple cameras and if calibration is provided the geometry is used to improve computer vision based assistance. We detail the whole interface comprising an administrative view that ease the setup of the system.

PACE: Prediction-based annotation for crowded environments / Bartoli, Federico; Lisanti, Giuseppe; Seidenari, Lorenzo; Del Bimbo, Alberto. - ELETTRONICO. - (2017), pp. 121-124. (Intervento presentato al convegno 17th ACM International Conference on Multimedia Retrieval, ICMR 2017 tenutosi a rou nel 2017) [10.1145/3078971.3079020].

PACE: Prediction-based annotation for crowded environments

BARTOLI, FEDERICO;LISANTI, GIUSEPPE;SEIDENARI, LORENZO;DEL BIMBO, ALBERTO
2017

Abstract

We present a new tool we have developed to ease the annotation of crowded environments, typical of visual surveillance datasets. Our tool is developed using HTML5 and Javascript and has two back-ends. A PHP based back-end implement the persistence using a relational database and manage the dynamic creation of pages and the authentication procedure. A python based REST server implement all the computer vision facilities to assist annotators. Our tool allows collaborative annotation of person identity, group membership, location, gaze and occluded parts. PACE supports multiple cameras and if calibration is provided the geometry is used to improve computer vision based assistance. We detail the whole interface comprising an administrative view that ease the setup of the system.
2017
ICMR 2017 - Proceedings of the 2017 ACM International Conference on Multimedia Retrieval
17th ACM International Conference on Multimedia Retrieval, ICMR 2017
rou
2017
Bartoli, Federico; Lisanti, Giuseppe; Seidenari, Lorenzo; Del Bimbo, Alberto
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1093251
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