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At the current rate of technological advancement and social acceptance thereof, it will not be long before wearable devices will be common that constantly record the field of view of the user. We introduce a new database of image sequences, taken with a first person view camera, of realistic, everyday scenes. As a distinguishing feature, we manually transcribed the scene text of each image. This way,...
The aim of this work is to provide a fast approach for monocular SLAM initialization by constructing an initial 3-D map with interest points that are susceptible to be automatically tracked. Interest points' depth is inferred by means of a linear regression model, which estimates depth on the basis of local image appearance. Our contributions are: (1) a new scheme for learning and predicting associations...
This paper presents a fusing methodology through an illustration of how visual and compass sensors for location and route recognition can be combined. The data acquisition platform consists of two cameras, a compass sensor and several peripheral inputs such as a GPS and an accelerometer. With just the visual features and compass directions, a Fast Learning Artificial Neural Network (FLANN) is used...
Blind and elderly persons often require support from a caretaker to move around for day-to-day tasks. Such persons can use assistive devices such as walkers to move around independently. For indoor environments, a camera-based system mounted on an assistive walker can help in automatic following of pre-defined paths. Such indoor paths can be learned visually during training and followed by the walker...
Texture is an important property of fire smoke, which is a significant signal for early fire detection. This paper describes a method of analyzing the texture of fire smoke combining two innovative texture analysis tools, Wavelet Analysis and Gray Level Cooccurrence Matrices (GLCM). Tree-Structured Wavelet transform is used to represent the textural images and GLCM are used to compute the different...
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