Bayesian Multiple Target Tracking
Bayesian Multiple Target Tracking
Pervasive Computing Goes to Work: Interfacing to the Enterprise
IEEE Pervasive Computing
Approximate Bayesian Multibody Tracking
IEEE Transactions on Pattern Analysis and Machine Intelligence
Robust Estimation of Background for Fixed Cameras
CIC '06 Proceedings of the 15th International Conference on Computing
Agent based middleware infrastructure for autonomous context-aware ubiquitous computing services
Computer Communications
Personal and Ubiquitous Computing
2D and 3D face localization for complex scenes
AVSS '07 Proceedings of the 2007 IEEE Conference on Advanced Video and Signal Based Surveillance
A generative approach to audio-visual person tracking
CLEAR'06 Proceedings of the 1st international evaluation conference on Classification of events, activities and relationships
A tutorial on particle filters for online nonlinear/non-GaussianBayesian tracking
IEEE Transactions on Signal Processing
HERMES: Pervasive Computing and Cognitive Training for Ageing Well
IWANN '09 Proceedings of the 10th International Work-Conference on Artificial Neural Networks: Part II: Distributed Computing, Artificial Intelligence, Bioinformatics, Soft Computing, and Ambient Assisted Living
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We are recently witnessing a growing interest for pervasive context-aware products and services for elderly users. This is largely due to falling fertility and rising longevity phenomena, as well as due to the proliferation of the aging population all over the world. In this paper we present a number of leading edge audio and video processing technologies, which can be exploited to build robust ambient assisted living applications for elderly groups. In particular, we discuss application requirements aiming at alleviating the cognitive decline of elderly users and present audio and video processing components that can essentially fulfill these requirements. We emphasize on technologies such as automatic speech recognition, speaker identification, face detection, person tracking, face identification, and demonstrate how mature versions of these technologies can be appropriately customized to give a significant boost to AAL applications for senior citizens. The challenges, solutions and ideas within this paper are part of the EU project HERMES, which aims at providing an integrated approach to cognitive care, based on assistive technology that reduces age-related decline of cognitive capabilities.