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This paper presents a new approach to the problem of simultaneous tracking of several people in low resolution sequences from multiple calibrated cameras. Spatial redundancy is exploited to generate a discrete 3D binary representation of the scene. A particle filtering scheme adapted to the incoming 3D discrete data is proposed. A volume likelihood function(More)
The aim of this paper is to present how structural relationships among regions can be used in the context of a general merging algorithm based on texture. In [1] and [2], the notions of merging order, merging model and merging criterion were introduced for the creation of Binary-Partition-Trees (BPTs). We extend this framework to syntactic features ,(More)
A two-component model is proposed for perceptual image coding. For the rst component of the model, the watershed operator is used to detect strong edge features. Then, an eecient morphological interpolation algorithm reconstructs the smooth areas of the image from the extracted edge information, also known as sketch data. The residual component, containing(More)
Image and video storage and retrieval continues to be one of the most exciting and fastest-growing research areas in the field of multimedia technology. However, opportunities for the exchange of ideas between different groups of researchers, and between researchers and potential users of image/video retrieval systems, are still limited. The International(More)
This paper deals with the use of some morphological tools for image and video coding. Mathematical morphology can be considered as a shape-oriented approach to signal processing, and some of its features make it very useful for compression. Rather than describing a coding algorithm, the purpose of this paper is to describe some morphological tools that have(More)
This paper presents a novel view-independent approach to the recognition of human gestures of several people in low resolution sequences from multiple calibrated cameras. In contraposition with other multi-ocular gesture recognition systems based on generating a classification on a fusion of features coming from different views, our system performs a data(More)
The analysis of lectures and meetings inside smart rooms has recently attracted much interest in the literature, being the focus of international projects and technology evaluations. A key enabler for progress in this area is the availability of Ambrish Tyagi has contributed to this work during two summer internships with the IBM T. appropriate multimodal(More)
Reliable measures of person positions are needed for computational perception of human activities taking place in a smart-room environment. In this work, we present the Person Tracking systems developed at UPC for audio, video and audio-video modalities in the context of the EU funded CHIL project research activities. The aim of the designed systems, and(More)