2000
DOI: 10.1117/1.602492
|View full text |Cite
|
Sign up to set email alerts
|

Improving the false alarm capabilities of the maximum average correlation height correlation filter

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
39
0

Year Published

2007
2007
2014
2014

Publication Types

Select...
4
2

Relationship

0
6

Authors

Journals

citations
Cited by 45 publications
(39 citation statements)
references
References 19 publications
0
39
0
Order By: Relevance
“…Various types of filters have been proposed in the literature [11][12][13][14]. Mahalanobis et al [11] introduced the MACH filter in 1994, which has been proved to be a powerful correlation filter.…”
Section: Mach Filtermentioning
confidence: 99%
See 2 more Smart Citations
“…Various types of filters have been proposed in the literature [11][12][13][14]. Mahalanobis et al [11] introduced the MACH filter in 1994, which has been proved to be a powerful correlation filter.…”
Section: Mach Filtermentioning
confidence: 99%
“…In order to incorporate all or some of these distortions, a variety of filters in a large number are required to be synthesized. In literature [11][12][13][14], a large number of distortion-invariant filters are reported. Most notably the synthetic discriminant function filter [3] and its variants are used.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…The GMACH filter h GMACH (Alkanhal et al, 2000), can be seen as a trade-off between a filter with EOC constraints and the MACH filter. Note, that the correlation output at the origin for …”
Section: Generalized Mach (Gmach) Filtermentioning
confidence: 99%
“…Thus, MACH filters are robust to distorted versions of the target which are not included in the training set (called intraclass distortions). Several versions of MACH filters exist, among these the generalized MACH (GMACH) filter achieves the lowest variations in correlation peaks among the set of training images (Alkanhal et al, 2000;Nevel & Mahalanobis, 2003). This means that the GMACH filter yields an optimized response to intraclass distortions.…”
Section: Introductionmentioning
confidence: 99%