The DOI matches its Crossref record; 23 of the 23 references it cites were found in a registry or an index.
The variable bandwidth mean shift and data-driven scale selection
Abstract
We present two solutions for the scale selection problem in computer vision. The first one is completely nonparametric and is based on the the adaptive estimation of the normalized density gradient. Employing the sample point estimator, we define the Variable Bandwidth Mean Shift, prove its convergence, and show its superiority over the fixed bandwidth procedure. The second technique has a semiparametric nature and imposes a local structure on the data to extract reliable scale information. The local scale of the underlying density is taken as the bandwidth which maximizes the magnitude of the normalized mean shift vector. Both estimators provide practical tools for autonomous image and quasi real-time video analysis and several examples are shown to illustrate their effectiveness.
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Cites
Density Estimation for Statistics and Data Analysis
Silverman, B. W. (2018) · Routledge eBooks · doi:10.1201/9781315140919 · Cited by 15,796
Scale-space and edge detection using anisotropic diffusion
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Density Estimation for Statistics and Data Analysis
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Bilateral Filtering for Gray and Color Images
Tomasi, C., & Manduchi, R. (2002) · Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271) · doi:10.1109/iccv.1998.710815 · Cited by 8,177 · cited 1×
“The process de ned by the mean shift technique in the color domain resembles bilateral ltering [19] (see also [3] for a discussion on the link between bilateral ltering, anisotropic di usion [12], and adaptive smoothing [13]).”
BackgroundPfinder: real-time tracking of the human body
Wren, C. R., Azarbayejani, A., Darrell, T., & Pentland, A. P. (1997) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.598236 · Cited by 4,169
Multivariate Density Estimation: Theory, Practice, and Visualization
Scott, D. W. (1992) · Wiley Series in Probability and Statistics · doi:10.1002/9780470316849 · Cited by 3,696
Real-time tracking of non-rigid objects using mean shift
Comaniciu, D., Ramesh, V., & Meer, P. (2002) · Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662) · doi:10.1109/cvpr.2000.854761 · Cited by 2,906
Self-citationWand, M. P., & Jones, M. C. (1995) · Springer eBooks · doi:10.1007/978-1-4899-4493-1 · Cited by 2,663
A Reliable Data-Based Bandwidth Selection Method for Kernel Density Estimation
Sheather, S. J., & Jones, M. C. (1991) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1991.tb01857.x · Cited by 2,641
Feature detection with automatic scale selection
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Cited by
The 2005 PASCAL Visual Object Classes Challenge
Everingham, M., Zisserman, A., Williams, C. K. I., Van Gool, L., Allan, M., Bishop, C. M., Chapelle, O., Dalal, N., Deselaers, T., Dorkó, G., et al. (2006) · Lecture Notes in Computer Science · doi:10.1007/11736790_8 · Cited by 765
Variational Methods for Multimodal Image Matching
Hermosillo, G., Chefd'Hotel, C., & Faugeras, O. (2002) · International Journal of Computer Vision · doi:10.1023/a:1020830525823 · Cited by 388
N-dimensional probability density function transfer and its application to color transfer
Pitie, F., Kokaram, A. C., & Dahyot, R. (2005) · Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1 · doi:10.1109/iccv.2005.166 · Cited by 331
Real-Time Scale Selection in Hybrid Multi-scale Representations
Lindeberg, T., & Bretzner, L. (2003) · Lecture Notes in Computer Science · doi:10.1007/3-540-44935-3_11 · Cited by 85
Automated Rock Detection and Shape Analysis from Mars Rover Imagery and 3D Point Cloud Data
Di, K., Yue, Z., Liu, Z., & Wang, S. (2013) · Journal of Earth Science · doi:10.1007/s12583-013-0316-3 · Cited by 42
Metadata
- Authors
- Comaniciu, D., Ramesh, V., & Meer, P.
- Venue
- Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001
- Publisher
- IEEE Comput. Soc
- Published
- 2002-11-13
- Volume
- 1
- Pages
- 438-445
- OpenAlex
- W2149107824
- Cited by
- 420
- References
- 23
- FWCI
- 12.78
- Type
- conference paper
- Language
- en
- Open access
- closed
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