Henrique Santos

TL;DR: The behavior analysis module of the OBSERVER, a video surveillance system that detects and predicts abnormal behaviors aiming at the intelligent surveillance concept, is presented, where the DOG method outperforms the previously used N-ary trees classifier.

TL;DR: The results from this study indicate that the Equal Error Rate (EER) is significantly influenced by the attribute selection process and to a lesser extent on the authentication algorithm employed, and provides evidence that a Probabilistic Neural Network (PNN) can be superior in terms of reduced training time and classification accuracy when compared with a typical MLFN back-propagation trained neural network.

TL;DR: This work surveys biometric based authentication systems that deploy mouse movements and presents a novel graphical authentication system dubbed Mouse-lock, which deploys the analogy of a safe, and the password is entered via the mouse in a graphical equivalent of combination lock.

TL;DR: A systematic and recent literature review of the topic of automatic detection of human behaviors from video from 2000 to 2014, covering a selection of 193 papers that were searched from six major scientific publishers, provides a roadmap to guide future research in this area.

TL;DR: This paper proposes an extension to a keystroke dynamics based security system that captures the normal typing patterns of a user and uses that information, in addition to standard login/password security to provide a system that is user friendly and very effective at detecting imposters.