ETRA and the University of Cantabria participated at MILIPOL Paris 2019 (November 19-22) presenting the LETSCROWD server and the project tools. Pictures and info are available in this article.
Download the LETSCROWD Toolcards. The LETSCROWD Server presents and integrates a set of innovative tools with the aim of improving citizen security in events of massive concurrence.
The LETSCROWD Server presents and integrates a set of innovative tools with the aim of improving citizen security in events of massive concurrence.
LETSCROWD organized its final workshop with the support of the ERTZAINTZA (Basque police) in Erandio, Bilbao, Spain (October 19, 2019). Pictures and info are available in this article.
Download the LETSCROWD Toolcards. The HCV tool provides 3 functionalities aimed at supporting LEA operators and forensic investigators in the use of video surveillance systems for monitoring and investigation activities during and after mass gathering events.
Crowd counting and density estimation – Human Centred Computer Vision Tool (HCV) – LETSCROWD Tool Videos #7
The “Crowd counting and density estimation” is useful for real-time estimation of crowd size and detection of related anomalous behaviours, e.g.: overcrowding with respect to an user-defined threshold, sudden increase or decrease of crowd size.
The “Attribute-based people search” allows to search in several recorded videos for individuals who match an attribute profile of clothing appearance (e.g., colours), gender, carried items.
Download the LETSCROWD Toolcards. The DRA is an essential element of any decision support tool aimed at improving the situational awareness while protecting mass gathering events against High Impact Low Probability (HILP) security risks.
We are pleased to inform you that LETSCROWD will host a workshop with the support of the ERTZAINTZA (Basque police) where the final results of the project will be presented.
The “appearance-based person re-identification” allows to search for an individual of interest in several recorded videos, based on clothing appearance, using an image as a query.