Fast Pedestrian Recognition Based on Multisensor Fusion
A fast pedestrian recognition algorithm based on multisensor fusion is presented in this paper. Firstly, potential pedestrian locations are estimated by laser radar scanning in the world coordinates, and then their corresponding candidate regions in the image are located by camera calibration and th...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2012-01-01
|
| Series: | Discrete Dynamics in Nature and Society |
| Online Access: | http://dx.doi.org/10.1155/2012/318305 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832567151939026944 |
|---|---|
| author | Hongyu Hu Zhaowei Qu Zhihui Li Jinhui Hu Fulu Wei |
| author_facet | Hongyu Hu Zhaowei Qu Zhihui Li Jinhui Hu Fulu Wei |
| author_sort | Hongyu Hu |
| collection | DOAJ |
| description | A fast pedestrian recognition algorithm based on multisensor fusion is presented in this paper. Firstly, potential pedestrian locations are estimated by laser radar scanning in the world coordinates, and then their corresponding candidate regions in the image are located by camera calibration and the perspective mapping model. For avoiding time consuming in the training and recognition process caused by large numbers of feature vector dimensions, region of interest-based integral histograms of oriented gradients (ROI-IHOG) feature extraction method is proposed later. A support vector machine (SVM) classifier is trained by a novel pedestrian sample dataset which adapt to the urban road environment for online recognition. Finally, we test the validity of the proposed approach with several video sequences from realistic urban road scenarios. Reliable and timewise performances are shown based on our multisensor fusing method. |
| format | Article |
| id | doaj-art-1d39502fea864a32b41da22f13337acb |
| institution | Kabale University |
| issn | 1026-0226 1607-887X |
| language | English |
| publishDate | 2012-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Discrete Dynamics in Nature and Society |
| spelling | doaj-art-1d39502fea864a32b41da22f13337acb2025-02-03T01:02:14ZengWileyDiscrete Dynamics in Nature and Society1026-02261607-887X2012-01-01201210.1155/2012/318305318305Fast Pedestrian Recognition Based on Multisensor FusionHongyu Hu0Zhaowei Qu1Zhihui Li2Jinhui Hu3Fulu Wei4State Key Laboratory of Automobile Dynamic Simulation, Jilin University, Changchun 130022, ChinaCollege of Transportation, Jilin University, Changchun 130022, ChinaCollege of Transportation, Jilin University, Changchun 130022, ChinaCollege of Transportation, Jilin University, Changchun 130022, ChinaCollege of Transportation, Jilin University, Changchun 130022, ChinaA fast pedestrian recognition algorithm based on multisensor fusion is presented in this paper. Firstly, potential pedestrian locations are estimated by laser radar scanning in the world coordinates, and then their corresponding candidate regions in the image are located by camera calibration and the perspective mapping model. For avoiding time consuming in the training and recognition process caused by large numbers of feature vector dimensions, region of interest-based integral histograms of oriented gradients (ROI-IHOG) feature extraction method is proposed later. A support vector machine (SVM) classifier is trained by a novel pedestrian sample dataset which adapt to the urban road environment for online recognition. Finally, we test the validity of the proposed approach with several video sequences from realistic urban road scenarios. Reliable and timewise performances are shown based on our multisensor fusing method.http://dx.doi.org/10.1155/2012/318305 |
| spellingShingle | Hongyu Hu Zhaowei Qu Zhihui Li Jinhui Hu Fulu Wei Fast Pedestrian Recognition Based on Multisensor Fusion Discrete Dynamics in Nature and Society |
| title | Fast Pedestrian Recognition Based on Multisensor Fusion |
| title_full | Fast Pedestrian Recognition Based on Multisensor Fusion |
| title_fullStr | Fast Pedestrian Recognition Based on Multisensor Fusion |
| title_full_unstemmed | Fast Pedestrian Recognition Based on Multisensor Fusion |
| title_short | Fast Pedestrian Recognition Based on Multisensor Fusion |
| title_sort | fast pedestrian recognition based on multisensor fusion |
| url | http://dx.doi.org/10.1155/2012/318305 |
| work_keys_str_mv | AT hongyuhu fastpedestrianrecognitionbasedonmultisensorfusion AT zhaoweiqu fastpedestrianrecognitionbasedonmultisensorfusion AT zhihuili fastpedestrianrecognitionbasedonmultisensorfusion AT jinhuihu fastpedestrianrecognitionbasedonmultisensorfusion AT fuluwei fastpedestrianrecognitionbasedonmultisensorfusion |