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Fagette A.,Thales Solutions Asia Pte Ltd | Courty N.,University of Southern Brittany | Racoceanu D.,University Pierre and Marie Curie | Dufour J.-Y.,Thales Alenia
Pattern Recognition Letters | Year: 2014

This study introduces a totally unsupervised method for the detection and location of dense crowds in images without context-awareness. With the perspective of setting up fully autonomous video-surveillance systems, automatic detection and location of crowds is a crucial step that is going to point which areas of the image have to be analyzed. After retrieving multiscale texture-related feature vectors from the image, a binary classification is conducted to determine which parts of the image belong to the crowd and which to the background. The algorithm presented can be operated on images without any prior knowledge of any kind and is totally unsupervised. © 2014 Elsevier B.V. All rights reserved.


Lim H.S.,Thales Solutions Asia Pte Ltd | Rameshchandra K.,Thales Solutions Asia Pte Ltd | Toh W.S.,DSO National Laboratories
OCEANS 2011 IEEE - Spain | Year: 2011

Most beamforming algorithms for vector sensor array are derived based on the assumption that the directivity pattern of all sensors are perfectly aligned. However this is not true in practice and calibration for rotational perturbations are required to avoid drastic degradation of beamforming performance. This paper presents two algorithms that are capable of estimating and compensating rotational perturbation angles. The first algorithm is based on steering vector error and the second algorithm is based on subspace criteria. Computer simulations show that performance of both algorithms approach theoretical bound, are consistent and able to restore distorted spatial spectral in the presence of single and multiple sources. © 2011 IEEE.


Bachatene H.,Thales Alenia | Landry S.,Thales Solutions Asia Pte Ltd | Toh K.-H.,Thales Solutions Asia Pte Ltd | Truong A.,Thales Solutions Asia Pte Ltd
Advances in Intelligent Systems and Computing | Year: 2016

This paper describes a method for product line system architecture applied to the Maritime Safety and Security domain. This approach aims to reconcile interests and concerns from various stakeholders in this domain: (i) End-user organisations and their operational needs, taking into account evolving economic, social and political constraints; (ii) Engineering teams, building product architectures, and managing product and solution development, and (iii) Sales and Marketing Teams, collecting and managing market needs and trends. Architecture and engineering data is exploited, using a customer-centric meta-model implemented to aid decision-makers from both business and technology perspectives, allowing them to understand and predict ROI of development of new system capabilities and to synchronize operational and technical roadmaps for affordable capabilities. © Springer International Publishing Switzerland 2016.


Kerr S.J.,Institute for Infocomm Research | Rice M.D.,Institute for Infocomm Research | Teo Y.,Institute for Infocomm Research | Wan M.,Institute for Infocomm Research | And 5 more authors.
Proceedings of VRCAI 2011: ACM SIGGRAPH Conference on Virtual-Reality Continuum and its Applications to Industry | Year: 2011

Augmented Reality (AR) technologies offer the potential to aid users in a number of professional areas. However, to date, most studies have been tested in controlled laboratory conditions. This paper outlines a user experience study of a wearable mobile augmented reality system in an outdoor urban environment. We describe the use case of using a see-through monocular headmounted display (HMD) with augmented imagery for orientation, and the use of gesture input for interacting with information while on-the-move. Participants had to navigate to a target location, whilst receiving information updates, and complete a series of gesture-based tasks. Despite participants managing to complete the tasks after some assistance, it was found that more improvements to the user experience are required for it to be viable in outdoor-use. In particular, better visibility, when seethrough HMDs are used in a bright environment, and improved situation awareness. This paper further highlights the difficulties in using gesture input, and points to a number of areas requiring further research into the use of wearable mobile AR systems in the context of this work. © 2011 ACM.


Jamet P.,Thales Solutions Asia Pte Ltd | Jamet P.,CNRS IPAL UMI 2955 Joint Laboratory | Chew S.C.K.,Thales Solutions Asia Pte Ltd | Fagette A.,Thales Solutions Asia Pte Ltd | And 3 more authors.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2015

This paper deal with the flow tracking topic applied to dense crowds of pedestrians. Using the estimated density, a cloud of particles is spread on the image and propagated according to the optical flow. Each particles embedding physical properties similar to those of a pedestrian, this cloud of particles is considered as statistically representative of the crowd. Therefore, the behavior of the particles can be validated with respect to the behavior expected from pedestrians and potentially optimized if needed. Three applications are derived by analysis of the cloud behavior: the detection of the entry and exit areas of the crowd in the image, the detection of dynamic occlusions and the possibility to link entry areas with exit ones according to the flow of the pedestrians. The validation is performed on synthetic data and shows promising results. © Springer International Publishing Switzerland 2015.

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