CENTAUR · Crowded ENvironments moniToring for Activity Understanding and Recognition
FP7 — People (Marie Curie Actions)
- Duration
- 2013-01-01 → 2016-12-31
- EU contribution
- €1,041,940
- Participants
- 5
- Scheme
- MC-IAPP
Lines connect the coordinator with its partners.
Results in brief
Crowded ENvironments moniToring for Activity Understanding and Recognition
The CENTAUR project established and built on a network of scientific excellence addressed research topics in computer vision and advancing the state of the art in video surveillance. The central theme of the project was monitoring and understanding of crowded scenes for purposes of security/safety surveillance. Three main project objectives were advancing state-of-the-art and building a functional demonstrator of: Multi camera, multi coverage tracking of objects of interest, Anomaly detection and fusion of multi-modal sensors, Activity recognition and behavior analysis in crowded environments. The established network of scientific excellence connected leading European academic labs with industrial engineering and research labs. Methods and techniques of multi-camera, multi-coverage tracking of objects of interest, anomaly detection and fusion of multi-modal sensors and activity recognition and behavior analysis in crowded environments have been explored resulting in evaluation of the state of the art methods, developing new, beyond state of the art algorithms and creating conceptual demos. In full four years of the project duration, the consortium had performed 29 in-network seminars, 23 external seminars, published 11 conference papers and book chapters, organized 3 webinars and one full-scale international workshop at a major international conference. Among the main achievements of the project are the software module integrating tracking and re-identification, highly accurate algorithm for detection violence in video data, data driven motion segmentation method for crowd motion understanding, algorithm for unsupervised learning in re-identification and algorithm for re-identification feature selection.
Data: CORDIS, © European Union
Project objective
We aim to develop a network of scientific excellence addressing research topics in computer vision and advancing the state of the art in video surveillance. The cross fertilization of ideas and technology between academia, research institutions and industry will lay the foundations to new methodologies and commercial solutions for monitoring crowded scenes. Research activities will be driven by specific sets of scenarios, requirements and datasets that reflect security operators’ needs for guaranteeing the safety of EU citizens. CENTAUR gives a unique opportunity to academia to be exposed to real life dataset, while enabling the validation of state-of-the-art video surveillance methodology developed at academia on data that illustrate real operational scenarios. The research agenda is motivated by ongoing advanced research activities in the participating entities. With Honeywell as a multi-industry partner, with security technologies developed and deployed in both its Automation and Control Solutions and Aerospace businesses, we have multiple global channels to exploit the developed technologies. With Neovison as a SME, we address small fast paced local markets, where the quick assimilation of new technologies is crucial. Three thrusts identified will enable the monitoring of crowded scenes, each led by an academic partner in collaboration with scientists from Honeywell: a) multi camera, multicoverage tracking of objects of interest, b) Anomaly detection and fusion of multimodal sensors, c) activity recognition and behavior analysis in crowded environments. We expect a long term impact on the field of video surveillance by: contributions to the state-of-the-art in the field, dissemination of results within the scientific and practitioners community, and establishing long term scientific exchanges between academia and industry, for a forum of scientific and industrial partners to collaborate on addressing technical challenges faced by scientists and the industry.""
Original text from CORDIS.
Participants
- HONEYWELL, SPOL. S.R.O · PrahaCoordinatorCzechia
- ECOLE POLYTECHNIQUE FEDERALE DE LAUSANNE · LausanneSwitzerland
- INSTITUT NATIONAL DE RECHERCHE EN INFORMATIQUE ET AUTOMATIQUE · Le Chesnay CedexFrance
- NEOVISION SRO · PrahaCzechia
- QUEEN MARY UNIVERSITY OF LONDON · LONDONUnited Kingdom
Links
Data: CORDIS, © European Union