A tracking framework for accurate face localization

This paper proposes a complete framework for accurate face localization on video frames. Detection and forward tracking are first combined according to predefined rules to get a first set of face candidates. Backward tracking is then applied to provide another set of possible localizations. Finally a dynamic programming algorithm is used to select the candidates that minimize a specific cost function. This method was designed to handle different scale, pose and lighting conditions. The experiments show that it improves the face detection rate compared to a frame-based detector and provides a higher precision than a forward information-based tracker.IFIP International Conference on Artificial Intelligence in Theory and Practice - Machine VisionRed de Universidades con Carreras en Informática (RedUNCI

A tracking framework for accurate face localization

This paper proposes a complete framework for accurate face localization on video frames. Detection and forward tracking are first combined according to predefined rules to get a first set of face candidates. Backward tracking is then applied to provide another set of possible localizations. Finally a dynamic programming algorithm is used to select the candidates that minimize a specific cost function. This method was designed to handle different scale, pose and lighting conditions. The experiments show that it improves the face detection rate compared to a frame-based detector and provides a higher precision than a forward information-based tracker.IFIP International Conference on Artificial Intelligence in Theory and Practice - Machine VisionRed de Universidades con Carreras en Informática (RedUNCI

Two examples of online eHealth platforms for supporting people living with cognitive impairments and their caregivers

This paper compares two methodological approaches derived from the EU Horizon 2020 funded projects CAREGIVERSPRO-MMD (C-MMD)1 and ICT4LIFE2. Both approaches were initiated in 2016 with the ambition to provide new integrated care services to people living with cognitive impairments, including Dementia, Alzheimer and Parkinson disease, as well as to their home caregivers towards a long-term increase in quality of life and autonomy at home. An outline of the disparities and similarities related to non-pharmacological interventions introduced by the two projects to foster treatment adherence was made. Both approaches have developed software solutions, including social platforms, notifications, Serious Games, user monitoring and support services aimed at developing the concepts of self-care, active patients and integrated care. Besides their differences, both projects can be benefited by knowledge and technology exchange, pilot results sharing and possible user's exchange if possible in the near future.Peer ReviewedPostprint (published version

A tracking framework for accurate face localization

This paper proposes a complete framework for accurate face localization on video frames. Detection and forward tracking are first combined according to predefined rules to get a first set of face candidates. Backward tracking is then applied to provide another set of possible localizations. Finally a dynamic programming algorithm is used to select the candidates that minimize a specific cost function. This method was designed to handle different scale, pose and lighting conditions. The experiments show that it improves the face detection rate compared to a frame-based detector and provides a higher precision than a forward information-based tracker.IFIP International Conference on Artificial Intelligence in Theory and Practice - Machine VisionRed de Universidades con Carreras en Informática (RedUNCI

Circularly Symmetric Watermark Embedding In 2-D Dft Domain

This paper presents an algorithm for rotation and scale invariant watermarking of digital images. An invisible mark is embedded in magnitude of the DFT domain. It is robust to compression, filtering, cropping, translation and rotation. The watermark introduces image changes that are invisible to the human eye. The detection algorithm does not require the original image. 1. INTRODUCTION Digital products can be easily copied and reproduced in a network enviroment. Therefore the watermarking of the multimedia products has been essential for copyright protection. A digital watermark is a digital signal carrying information about the copyright owner and it is expected to be permanently embedded into the digital products. In the following, we shall limit our presentation to digital image protection. The watermark should be robust to distortions (such as image processing and lossy image compression) and statistically undetectable. In order to be robust, it must be associated to the most sign..