A High Accuracy Pedestrian Detection System Combining a Cascade AdaBoost Detector and Random Vector Functional-Link Net
In pedestrian detection methods, their high accuracy detection rates are always obtained at the cost of a large amount of false pedestrians. In order to overcome this problem, the authors propose an accurate pedestrian detection system based on two machine learning methods: cascade AdaBoost detector...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2014-01-01
|
| Series: | The Scientific World Journal |
| Online Access: | http://dx.doi.org/10.1155/2014/105089 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849406059717853184 |
|---|---|
| author | Zhihui Wang Sook Yoon Shan Juan Xie Yu Lu Dong Sun Park |
| author_facet | Zhihui Wang Sook Yoon Shan Juan Xie Yu Lu Dong Sun Park |
| author_sort | Zhihui Wang |
| collection | DOAJ |
| description | In pedestrian detection methods, their high accuracy detection rates are always obtained at the cost of a large amount of false pedestrians. In order to overcome this problem, the authors propose an accurate pedestrian detection system based on two machine learning methods: cascade AdaBoost detector and random vector functional-link net. During the offline training phase, the parameters of a cascade AdaBoost detector and random vector functional-link net are trained by standard dataset. These candidates, extracted by the strategy of a multiscale sliding window, are normalized to be standard scale and verified by the cascade AdaBoost detector and random vector functional-link net on the online phase. Only those candidates with high confidence can pass the validation. The proposed system is more accurate than other single machine learning algorithms with fewer false pedestrians, which has been confirmed in simulation experiment on four datasets. |
| format | Article |
| id | doaj-art-526ec09c961e4cf3b422aa8ef2b654ec |
| institution | Kabale University |
| issn | 2356-6140 1537-744X |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | The Scientific World Journal |
| spelling | doaj-art-526ec09c961e4cf3b422aa8ef2b654ec2025-08-20T03:36:31ZengWileyThe Scientific World Journal2356-61401537-744X2014-01-01201410.1155/2014/105089105089A High Accuracy Pedestrian Detection System Combining a Cascade AdaBoost Detector and Random Vector Functional-Link NetZhihui Wang0Sook Yoon1Shan Juan Xie2Yu Lu3Dong Sun Park4Department of Electronics Engineering, Chonbuk National University, Jeonju 561-756, Republic of KoreaDepartment of Multimedia, Mokpo National University, Jeonnam 534-729, Republic of KoreaInstitute of Remote Sensing and Earth Science, Hangzhou Normal University, Hangzhou 311121, ChinaDepartment of Electronics Engineering, Chonbuk National University, Jeonju 561-756, Republic of KoreaDepartment of Electronics Engineering, Chonbuk National University, Jeonju 561-756, Republic of KoreaIn pedestrian detection methods, their high accuracy detection rates are always obtained at the cost of a large amount of false pedestrians. In order to overcome this problem, the authors propose an accurate pedestrian detection system based on two machine learning methods: cascade AdaBoost detector and random vector functional-link net. During the offline training phase, the parameters of a cascade AdaBoost detector and random vector functional-link net are trained by standard dataset. These candidates, extracted by the strategy of a multiscale sliding window, are normalized to be standard scale and verified by the cascade AdaBoost detector and random vector functional-link net on the online phase. Only those candidates with high confidence can pass the validation. The proposed system is more accurate than other single machine learning algorithms with fewer false pedestrians, which has been confirmed in simulation experiment on four datasets.http://dx.doi.org/10.1155/2014/105089 |
| spellingShingle | Zhihui Wang Sook Yoon Shan Juan Xie Yu Lu Dong Sun Park A High Accuracy Pedestrian Detection System Combining a Cascade AdaBoost Detector and Random Vector Functional-Link Net The Scientific World Journal |
| title | A High Accuracy Pedestrian Detection System Combining a Cascade AdaBoost Detector and Random Vector Functional-Link Net |
| title_full | A High Accuracy Pedestrian Detection System Combining a Cascade AdaBoost Detector and Random Vector Functional-Link Net |
| title_fullStr | A High Accuracy Pedestrian Detection System Combining a Cascade AdaBoost Detector and Random Vector Functional-Link Net |
| title_full_unstemmed | A High Accuracy Pedestrian Detection System Combining a Cascade AdaBoost Detector and Random Vector Functional-Link Net |
| title_short | A High Accuracy Pedestrian Detection System Combining a Cascade AdaBoost Detector and Random Vector Functional-Link Net |
| title_sort | high accuracy pedestrian detection system combining a cascade adaboost detector and random vector functional link net |
| url | http://dx.doi.org/10.1155/2014/105089 |
| work_keys_str_mv | AT zhihuiwang ahighaccuracypedestriandetectionsystemcombiningacascadeadaboostdetectorandrandomvectorfunctionallinknet AT sookyoon ahighaccuracypedestriandetectionsystemcombiningacascadeadaboostdetectorandrandomvectorfunctionallinknet AT shanjuanxie ahighaccuracypedestriandetectionsystemcombiningacascadeadaboostdetectorandrandomvectorfunctionallinknet AT yulu ahighaccuracypedestriandetectionsystemcombiningacascadeadaboostdetectorandrandomvectorfunctionallinknet AT dongsunpark ahighaccuracypedestriandetectionsystemcombiningacascadeadaboostdetectorandrandomvectorfunctionallinknet AT zhihuiwang highaccuracypedestriandetectionsystemcombiningacascadeadaboostdetectorandrandomvectorfunctionallinknet AT sookyoon highaccuracypedestriandetectionsystemcombiningacascadeadaboostdetectorandrandomvectorfunctionallinknet AT shanjuanxie highaccuracypedestriandetectionsystemcombiningacascadeadaboostdetectorandrandomvectorfunctionallinknet AT yulu highaccuracypedestriandetectionsystemcombiningacascadeadaboostdetectorandrandomvectorfunctionallinknet AT dongsunpark highaccuracypedestriandetectionsystemcombiningacascadeadaboostdetectorandrandomvectorfunctionallinknet |