Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/42880
Title: Increasing efficiency of Hausdorff approach for tracking real scenes with complex environments
Authors: Sanchez Nielsen, Elena
Lorenzo Navarro, J. 
Hernandez Tejera, M. 
UNESCO Clasification: 120304 Inteligencia artificial
Keywords: Robotics
Robots
Robótica
Image analysis
Análisis de imágenes
Issue Date: 2001
Abstract: Tracking moving objects based on a Hausdorff approach can be formulated in terms of a matching process between two sets of edge points extracted from the object model to be localized and the corresponding frame of the image sequence. However, no information about the global measures of the object feature positions has been considered to carry out the matching process through a search strategy. This situation leads to an increase of computational cost in the tracking process, due to no limitations ("pruning") in the search region in the problem space. Experimental results with real-world complex image sequences including changing background conditions are provided to illustrate the performance and advantages with respect to previous approaches. The results are analyzed.
URI: http://hdl.handle.net/10553/42880
ISBN: 0-7695-1183-X
978-0-7695-1183-2
DOI: 10.1109/ICIAP.2001.956997
Source: Proceedings - 11th International Conference on Image Analysis and Processing, ICIAP 2001 (956997), p. 131-136
Appears in Collections:Actas de congresos
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