Miguel Farrajota

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The goal of the Portuguese project "SmartVision: active vision for the blind" is to develop a small, portable and cheap yet intelligent and reliable system for assisting the blind and visually impaired while navigating autonomously, both inand outdoor. In this article we present an overview of the prototype, design issues, and its different modules which(More)
Optical flow is the pattern of apparent motion of objects in a visual scene and the relative motion, or egomotion, of the observer in the scene. In this paper we present a new cortical model for optical flow. This model is based on simple, complex and end-stopped cells. Responses of end-stopped cells serve to detect keypoints and those of simple cells are(More)
Human-robot interaction is an interdisciplinary research area which aims at integrating human factors, cognitive psychology and robot technology. The ultimate goal is the development of social robots. These robots are expected to work in human environments, and to understand behavior of persons through gestures and body movements. In this paper we present a(More)
Building a general-purpose, real-time active vision system completely based on biological models is a great challenge. We apply a number of biologically plausible algorithms which address different aspects of vision, such as edge and keypoint detection, feature extraction, optical flow and disparity, shape detection, object recognition and scene modelling(More)
The SmartVision prototype is a small, cheap and easily wearable navigation aid for blind and visually impaired persons. Its functionality addresses global navigation for guiding the user to some destiny, and local navigation for negotiating paths, sidewalks and corridors, with avoidance of static as well as moving obstacles. Local navigation applies to both(More)
Human-robot interaction is an interdisciplinary research area that aims at the development of social robots. Since social robots are expected to interact with humans and understand their behavior through gestures and body movements, cognitive psychology and robot technology must be integrated. In this paper we present a biological and real-time framework(More)
Pedestrian detection and tracking remains popular issue in computer vision, with many applications in robotics, surveillance, security and telecare systems, especially when connected with Smart Cities and Smart Destinations. As a particular case of object detection, pedestrian detection in general is a difficult task due to a large variability of features(More)
Pedestrian detection and tracking remains a popular issue in computer vision, spawning many applications in robotics, surveillance and security, biometrics and humancomputer interaction. In this paper we present a biological framework for detecting and tracking pedestrians by using a monocular moving camera. This framework is based on visual cortex cells,(More)