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Now showing items 1-10 of 11
Motion-based stereovision model with potential utility in robot navigation.
(2005)
Autonomous robot guidance in dynamic environments requires, on the one hand, the study of relative motion of the objects of the environment with respect to the robot, and on the other hand, the analysis of the depth towards ...
Dynamic visual attention model in image sequences
(2007)
A new computational architecture of dynamic visual attention is introduced in this paper. Our approach defines a model for the generation of an active attention focus on a dynamic scene captured from a still or moving ...
Accumulative computation method for motion features extraction in active selective visual attention
(2005)
A new method for active visual attention is briefly introduced in this paper. The method extracts motion and shape features from indefinite image sequences, and integrates these features to segment the input scene. The aim ...
Modelling the stereovision-correspondence-analysis task by lateral inhibition in accumulative computation problem-solving method.
(2007)
Recently, the Algorithmic Lateral Inhibition (ALI) method and the Accumulative Computation (AC) method have proven to be efficient in modelling at the knowledge level for general-motion-detection tasks in video sequences. ...
Lateral interaction in accumulative computation
(2005)
To be able to understand the motion of non-rigid objects, techniques in image processing and computer vision are essential for motion analysis. Lateral interaction in accumulative computation for extracting non-rigid blobs ...
Permanency memories in scene depth analysis
(2005)
There are several strategies of how to retrieve depth information from a sequence of images, like depth from motion, depth from shading and depth from stereopsis. In this paper, we introduce a new method to retrieve depth ...
Computational agents to model knowledge - theory, and practice in visual surveillance.
(2009)
In this work the concept of computational agent is located within the methodological framework of levels and domains of description of a calculus in the context of different usual paradigms in Artificial Intelligence ...
Knowledge modelling for the motion detection task
(2004)
In this article knowledge modelling at the knowledge level for the task of moving objects detection in image sequences is introduced. Three items have been the focus of the approach: (1) the convenience of knowledge modelling ...
Visual surveillance by dynamic visual attention method
(2006)
This paper describes a method for visual surveillance based on biologically motivated dynamic visual attention in video image sequences. Our system is based on the extraction and integration of local (pixels and spots) as ...
Sensitivity from short-term memory vs. Stability from long-term memory in visual attention method
(2005)
In this paper a special focus on the relationship between sensitivity and stability in a dynamic selective visual attention method is described. In this proposal sensitivity is associated to short-term memory and stability ...