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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Paletta, L. Rome, E. Pinz, A. |
| Copyright Year | 1999 |
| Description | Author affiliation: Inst. for Comput. Graphics & Vision, Tech. Univ. Graz, Austria (Paletta, L.) |
| Abstract | The goal of the proposed detection system is to identify objects, e.g. inlets, in sewage pipes. A camera attached to an autonomous sewer robot provides images that are interpreted by an attention driven recognition module. Local appearances in the input image are represented in an environment specific description subspace extracted by principal component analysis. The object class posterior interpretation in terms of a radial basis function network constitutes an attention filter constraining further processing on receptive fields filter resolutions. Multiresolution decision fusion is the framework used to combine detection confidences to enhance robustness in the global classification. The vision system is evaluated in various experiments where it proves successful with respect to the local classification rate, to the generalization behavior in recognizing similar objects, and to detection that requires a minimum of positive falses. |
| Starting Page | 1087 |
| Ending Page | 1093 |
| File Size | 743443 |
| Page Count | 7 |
| File Format | |
| ISBN | 0780351843 |
| DOI | 10.1109/IROS.1999.812825 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1999-10-17 |
| Publisher Place | South Korea |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Object detection Robot vision systems Cameras Principal component analysis Inspection Navigation Uncertainty Sensor fusion Control systems Computer graphics |
| Content Type | Text |
| Resource Type | Article |
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