Name
Title | ||
|---|---|---|
A Specialized Processor Suitable For Adaboost-Based Detection With Haar-Like Features |
Abstract | ||
|---|---|---|
Robust and rapid object detection is one of the great challenges in the field of computer vision. This paper proposes a hardware architecture suitable for object detection by Viola and Jones [9] based on an AdaBoost learning algorithm with Haar-like features as weak classifiers. Our architecture realizes rapid and robust detection with two major features: hybrid parallel execution and an image scaling method The first exploits the cascade structure Of classifiers, in which classifiers located near the beginning of the cascade are used more frequently than subsequent classifiers. We assign more resources to the former classifiers to execute in parallel than subsequent classifiers. This dramatically improves the total processing speed without a great increase in circuit area. The second feature is a method of scaling input images instead of scaling classifiers. This increases the efficiency of hardware implementation while retaining a high detection rate. In addition we implement the proposed architecture on a Virtex-5 FPGA to show that it achieves real-time object detection at 30 frames per second on VGA video. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1109/CVPR.2007.383415 | 2007 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, VOLS 1-8 |
Keywords | Field | DocType |
computer vision,hardware,face recognition,haar like features,hardware architecture,frames per second,computer architecture,learning artificial intelligence,image classification,face detection,real time systems,field programmable gate arrays,robustness | Computer vision,Object detection,Viola–Jones object detection framework,AdaBoost,Pattern recognition,Computer science,Random subspace method,Cascading classifiers,Haar-like features,Artificial intelligence,Frame rate,Hardware architecture | Conference |
Volume | Issue | ISSN |
2007 | 1 | 1063-6919 |
Citations | PageRank | References |
18 | 1.70 | 11 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Masayuki Hiromoto | 1 | 180 | 20.93 |
| Kentaro Nakahara | 2 | 24 | 2.96 |
| Hiroki Sugano | 3 | 141 | 11.19 |
| Yukihiro Nakamura | 4 | 177 | 50.18 |
| Ryusuke Miyamoto | 5 | 163 | 15.01 |