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DAGM
2003
Springer

Local Representations for Multi-object Recognition

9 years 11 days ago
Local Representations for Multi-object Recognition
Abstract. Methods for the recognition of multiple objects in images using local representations are introduced. Starting from a straight forward approach, we combine the use of local representations with region segmentation and template matching. The performance of the classifiers is evaluated on four image databases of different difficulties. All databases consist of images containing one, two or three objects and differ in the backgrounds which are used. Also, the presence or absence of occlusions of the objects in the scenes is considered. Classification results are promising regarding the difficulty of the task.
Thomas Deselaers, Daniel Keysers, Roberto Paredes,
Added 06 Jul 2010
Updated 06 Jul 2010
Type Conference
Year 2003
Where DAGM
Authors Thomas Deselaers, Daniel Keysers, Roberto Paredes, Enrique Vidal, Hermann Ney
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