Name
Title | ||
|---|---|---|
Applying Image Features and AdaBoost Classification for Vehicle Detection in the 'SM4Public' System. |
Abstract | ||
|---|---|---|
The main goal of works described in the paper is to test and select algorithms to be implemented in the 'SM4Public' security system for public spaces. The paper describes the use of cascading approaches in the scenario concerning the detection of vehicles in static images. Three feature extractors were used along with benchmark datasets in order to prepare eight various cascades of classifiers. The algorithms selected for feature extraction are Histogram of Oriented Gradients, Local Binary Patterns and Haar-like features. AdaBoost was used as a classifier. The paper briefly introduces the 'SM4Public' system characteristics, characterizes the employed algorithms and presents sample experimental results. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1007/978-3-319-23814-2_10 | IMAGE PROCESSING AND COMMUNICATIONS CHALLENGES 7 |
Keywords | DocType | Volume |
Video surveillance,Vehicle detection,Cascades of classifiers | Conference | 389 |
ISSN | Citations | PageRank |
2194-5357 | 1 | 0.35 |
References | Authors | |
0 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dariusz Frejlichowski | 1 | 124 | 23.65 |
| Katarzyna Gościewska | 2 | 15 | 6.15 |
| Pawel Forczmanski | 3 | 34 | 14.21 |
| Adam Nowosielski | 4 | 47 | 10.56 |
| Radoslaw Hofman | 5 | 19 | 8.88 |