Gabriela Andreu García

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This paper describes an approach to classify people , groups of people and luggage in the halls of an airport. The algorithm is included into a surveillance system which tracks and classifies objects and transmits this information to a higher computational level which fuses the information of several cameras covering overlapping areas. Two kind of features(More)
A number of methods for temporal alignment, feature extraction and clustering of electrocardiographic signals are proposed. The ultimate aim of the paper is to find a method to automatically reduce the quantity of beats to examine in a long-term electrocardiographic signal, known as Holter signal, without loss of valuable information for the diagnosis.(More)
This paper describes the recognition of container code characters. The system has to deal with outdoor images which usually have damaged characters and obtain an answer in real time. Tophat transformation, equalization and adaptive cropping have been applied so as to reduce the noise and correct the inclusion box. The training corpus is artificially grown(More)
In this paper, a method to automatically extract the main information from a long-term electrocardiographic signal is presented. This method is based on techniques of pattern recognition applied to speech processing, like dynamic time warping, and trace segmentation. In order to fulfill this objective, a clustering process is applied to the set of beats(More)
—This paper describes an approach to segment and locate people in crowded scenarios with application to a surveillance system for airport dependencies. To obtain robust operation, the system analyzes a variety of visual cues –color, motion and shape– and integrates them optimally. A general method for automatic inference of optimal cue integration rules is(More)