11th International Conference on Image Analysis and Processing (ICIAP'01)
Increasing Efficiency of Hausdorff Approach for Tracking Real Scenes with Complex Environments
Palermo, Italy
September 26-September 28
ISBN: 0-7695-1183-X
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 features positions has been considered to carry out the matching process through a search strategy. This situation lead to an increase of computational cost in tracking process, due to no limitations ("pruning") in search region in problem space. Experimental results with real complex world image sequences including changing background conditions are provided to illustrate the performance and advantages with respect to previous approaches. The results are analyzed.
Citation:
Elena Sánchez Nielsen, J. Lorenzo Navarro, M. Hernández Tejera, "Increasing Efficiency of Hausdorff Approach for Tracking Real Scenes with Complex Environments," iciap, pp.0131, 11th International Conference on Image Analysis and Processing (ICIAP'01), 2001