- 【Updated on May 12, 2025】 Integration of CiNii Dissertations and CiNii Books into CiNii Research
- Trial version of CiNii Research Automatic Translation feature is available on CiNii Labs
- Suspension and deletion of data provided by Nikkei BP
- Regarding the recording of “Research Data” and “Evidence Data”
Feature selection for reliable tracking using template matching
Description
A new feature selection method for reliable tracking is presented. In this paper, it is assumed that features are tracked by template matching where small regions around the features are defined as templates. The proposed method selects features based on the upper bound of the average template matching error. This selection criterion is directly related to the reliability of tracking and hence, the performance is better than that of other feature detectors. Experimental results are presented to confirm the efficiency of the proposed method.
Journal
-
- 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings.
-
2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings. I-796, 2003-11-21
IEEE Comput. Soc
- Tweet
Details 詳細情報について
-
- CRID
- 1360865818705579264
-
- Data Source
-
- Crossref
- OpenAIRE