Name
Abstract | ||
|---|---|---|
This letter presents a new method to derive the image feature descriptor for vehicle verification. The effectiveness of the proposed feature descriptor is based on the nature of the Gabor filter magnitude that tends to obey the Gamma distribution. The statistical parameters of the Gabor magnitude are computed using the Maximum Likelihood Estimation (MLE), which is later utilized to construct the feature descriptor. Conventionally, the Gabor magnitude is simply modeled by using Gaussian distribution, and thus the image descriptor consists of mean, standard deviation, and skewness values of the Gabor filter magnitude. However, recent investigations found that the skewness parameter is not contributing towards class separation. Based on our observation, the Gamma distribution provides a better statistical fitting to represent the Gabor filter magnitude when compared to the Gaussian distribution. As documented in the experimental results, the proposed feature descriptor yields higher accuracy for vehicle verification when compared to the conventional schemes. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/LSP.2014.2311132 | IEEE Signal Process. Lett. |
Keywords | Field | DocType |
statistical fitting,gabor filters,learning (artificial intelligence),traffic engineering computing,gamma distribution modeling,maximum likelihood estimation,gamma distribution,gabor filter,statistical parameter computation,gabor filter magnitude,vehicle verification,supervised classification,feature extraction,image classification,image feature descriptor,image texture feature extraction,standard deviation values,skewness values,image texture,mean values,mle,learning artificial intelligence,gaussian distribution,fitting | Statistical parameter,Skewness,Pattern recognition,Image texture,Feature extraction,Gabor filter,Gaussian,Artificial intelligence,Gamma distribution,Standard deviation,Mathematics | Journal |
Volume | Issue | ISSN |
21 | 5 | 1070-9908 |
Citations | PageRank | References |
8 | 0.53 | 9 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jing-Ming Guo | 1 | 830 | 77.60 |
| Heri Prasetyo | 2 | 127 | 9.82 |
| KokSheik Wong | 3 | 333 | 42.27 |