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We present an extension of a neuro-dynamic object recognition system that combines bottom-up recognition of matching patterns and top-down estimation of pose parameters in a recurrent loop. It is extended by an active foveal vision system. Adding the active vision component is easily integrated within the architecture and improves the recognition rate on previous experiments on the COIL-100 database...
A multi-cue method is put forward to solve the problem of multiple objects tracking under family environmental service. The cues mainly include: object detection, object prediction, and object tracking. Motion History Image is used to detect foreground and the connected component analysis is adopted to establish the target measurements. Kalman filter is presented to predict the old objects, if two...
The paper discusses a novel unsupervised learning approach for tracking deformable objects manipulated by a robotic hand in a series of images collected by a video camera. The object of interest is automatically segmented from the initial frame in the sequence. The segmentation is treated as clustering based on color information and spatial features and an unsupervised network is employed to cluster...
Olivia 2.0 is a Social Robot designed to interact and serve in office environment as a Robotic Receptionist. This is the forth model of Service Robot developed by A*STAR Robotics Team in Singapore. For a start, the occupation & background story of Olivia as a receptionist has set a common ground between human and robot for interaction around topics fitting to the job. The use of vision technology...
Many robotic vision systems suffer from unsatisfied recognition rate and high computational load. A solution to the design of a fast and sufficiently accurate robotic vision system requires urgent attention. This paper presents a novel image processing architecture for visual attention and tracking applications using a series of low-level image processing units. The proposed system features a human-mimic...
A single undergrad student, who was new to the topics of robot vision and mapping, over the course of a semester completed a scavenger hunt robot project. The robot was programmed to search for and identify a finite set of brightly colored objects using a color blob tracking vision sensor, and display a map of where they were located. The robot was given five trial runs in which it was able to find...
Object recognition techniques are well known in the field of machine vision, and aim at the classification of certain observed rigid objects based on the information acquired by a specific sensor. These techniques can either be performed in the 2D image space by simply applying suitable image processing algorithms, or in the real world 3D space by performing surface reconstruction of the object's...
The main objective of this work is to develop a robots' fleet working together to make assistance tasks in a hospital, geriatric or home in a collaborative way. This paper focus on multi-robot mapping and localization system for robotic assistants and a camera based system for tracking people. This paper presents a method to detect, recognize and track people using mount cameras fixed on a building...
The unsupervised selection and posterior recognition of visual landmarks is a highly valuable perceptual capability for a mobile robot. Recently, we proposed a system that aims to achieve this capability by combining a bottom-up data driven approach with top-down feedback provided by high level semantic representations. The bottom-up approach is based on three main mechanisms: visual attention, area...
The following topics are dealt with: computer vision; robot vision; robot control; image segmentation; stereo vision; early vision; motion tracking; activity recognition; 3D vision; and object recognition.
This study aims to develop an environment recognition method for a mobile robot using visual information in irregular ground. A mobile robot can autonomous movement, an environment recognition and object tracking by using visual information. But researches using visual information do not consider irregular ground. Visual information have errors in irregular ground. There are handling method by image...
This paper presents a concept for a nanohandling robot cell with flexible visual feedback that can work inside an SEM's vacuum chamber and enable fully automated nanohandling and assembly. Therefore, rail-based robots position miniature video microscopes to observe the process from different angles and with different magnifications. Image processing techniques can be used to recognize and track objects...
In this paper, it is presented an algorithm for processing visual data to obtain relevant information that will be afterwards used to track the different moving objects in complex indoor environments. In autonomous robots applications, visual detection of the obstacles in a dynamic environment from a mobile platform is a complicated task. The robustness of this process is fundamental in tracking and...
The paper deals about real-time vision system for an autonomous model airplane. Skeye ball is a radio-controlled aircraft developed to host research and educational projects in autonomous aviation. Skeye ball vision has the objective of developing a tracking system that flows a simple two dimensional scene, in live video. It uses a two-prolonged approach to object tracking, taking into account the...
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