Name
Title | ||
|---|---|---|
Cascade Classifier Using Combination of Histograms of Oriented Gradients for Rapid Pedestrian Detection. |
Abstract | ||
|---|---|---|
Accurate and efficient human detection has become an important area for research in computer vision. In order to solve problems in the past human detection algorithms such as features with fixed sizes, fixed positions and fixed number, the human detection based on united Hogs algorithm was proposed. This algorithm can dynamically generate the features closer to human body contours. Basically maintaining the detection speed, the detection accuracy was improved by our algorithm. We demonstrate that comparing with human detection algorithm using haar, traditional hogs and a hog with variable-size blocks, our algorithm is better in both of detection rate and false positive rate. © 2013 ACADEMY PUBLISHER. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.4304/jsw.8.1.71-77 | JSW |
Keywords | Field | DocType |
adaboost,cascade classifier,hog,pedestrian detection,weak classifier | False positive rate,Histogram,AdaBoost,Pattern recognition,Computer science,Haar,Cascading classifiers,Artificial intelligence,Pedestrian detection,Machine learning | Journal |
Volume | Issue | Citations |
8 | 1 | 7 |
PageRank | References | Authors |
0.73 | 10 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wenhui Li | 1 | 83 | 28.12 |
| Yifeng Lin | 2 | 7 | 1.07 |
| Bo Fu | 3 | 8 | 5.84 |
| Mingyu Sun | 4 | 8 | 1.45 |
| Wenting Wu | 5 | 7 | 1.07 |