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In this paper, a new Wavelet-AR feature for activity recognition from a tri-axial acceleration signals has been proposed. We use Wavelet Transform to decompose the raw accelerometer signals and obtain the decomposed signals that can efficiently discriminate the different activities. After that we build autoregressive (AR) model for the decomposed signals and extract the AR coefficients as features...
To be represented in tabular form and graphical format in ship electronic navigation system, printing tidal material must be processed into textual information, which is completed by an automatic tide table recognition module consisting of a feature extractor and a classifier. In feature extraction, a new wavelet part grid feature is defined based on wavelet's directive characteristics. In classification...
The detection of an obstacle in a traffic scene situation (obstacle which most often means a pedestrian or a vehicle) is a real challenge due to the outdoor environment and the variety of appearance of the obstacle. In this paper some details about our recognition module applied on visible and infrared image databases are presented. Given an image, or a region within an image, generate different types...
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