A Comparative Study of Multiple Object Detection Using Haar-Like Feature Selection and Local Binary Patterns in Several Platforms
Object detection has been attracting much interest due to the wide spectrum of applications that use it. It has been driven by an increasing processing power available in software and hardware platforms. In this work we present a developed application for multiple objects detection based on OpenCV l...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Wiley
2015-01-01
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| Series: | Modelling and Simulation in Engineering |
| Online Access: | http://dx.doi.org/10.1155/2015/948960 |
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| _version_ | 1849468133622939648 |
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| author | Souhail Guennouni Ali Ahaitouf Anass Mansouri |
| author_facet | Souhail Guennouni Ali Ahaitouf Anass Mansouri |
| author_sort | Souhail Guennouni |
| collection | DOAJ |
| description | Object detection has been attracting much interest due to the wide spectrum of applications that use it. It has been driven by an increasing processing power available in software and hardware platforms. In this work we present a developed application for multiple objects detection based on OpenCV libraries. The complexity-related aspects that were considered in the object detection using cascade classifier are described. Furthermore, we discuss the profiling and porting of the application into an embedded platform and compare the results with those obtained on traditional platforms. The proposed application deals with real-time systems implementation and the results give a metric able to select where the cases of object detection applications may be more complex and where it may be simpler. |
| format | Article |
| id | doaj-art-fb210bf680f04040836bb91ddaca2647 |
| institution | Kabale University |
| issn | 1687-5591 1687-5605 |
| language | English |
| publishDate | 2015-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Modelling and Simulation in Engineering |
| spelling | doaj-art-fb210bf680f04040836bb91ddaca26472025-08-20T03:25:56ZengWileyModelling and Simulation in Engineering1687-55911687-56052015-01-01201510.1155/2015/948960948960A Comparative Study of Multiple Object Detection Using Haar-Like Feature Selection and Local Binary Patterns in Several PlatformsSouhail Guennouni0Ali Ahaitouf1Anass Mansouri2Sidi Mohammed Ben Abdellah University, Faculty of Science and Technology, Renewable Energy and Smart Systems Laboratory, BP 2202, 30000 Fez, MoroccoSidi Mohammed Ben Abdellah University, Faculty of Science and Technology, Renewable Energy and Smart Systems Laboratory, BP 2202, 30000 Fez, MoroccoSidi Mohammed Ben Abdellah University, National School of Applied Sciences, Renewable Energy and Smart Systems Laboratory, BP 72, 30000 Fez, MoroccoObject detection has been attracting much interest due to the wide spectrum of applications that use it. It has been driven by an increasing processing power available in software and hardware platforms. In this work we present a developed application for multiple objects detection based on OpenCV libraries. The complexity-related aspects that were considered in the object detection using cascade classifier are described. Furthermore, we discuss the profiling and porting of the application into an embedded platform and compare the results with those obtained on traditional platforms. The proposed application deals with real-time systems implementation and the results give a metric able to select where the cases of object detection applications may be more complex and where it may be simpler.http://dx.doi.org/10.1155/2015/948960 |
| spellingShingle | Souhail Guennouni Ali Ahaitouf Anass Mansouri A Comparative Study of Multiple Object Detection Using Haar-Like Feature Selection and Local Binary Patterns in Several Platforms Modelling and Simulation in Engineering |
| title | A Comparative Study of Multiple Object Detection Using Haar-Like Feature Selection and Local Binary Patterns in Several Platforms |
| title_full | A Comparative Study of Multiple Object Detection Using Haar-Like Feature Selection and Local Binary Patterns in Several Platforms |
| title_fullStr | A Comparative Study of Multiple Object Detection Using Haar-Like Feature Selection and Local Binary Patterns in Several Platforms |
| title_full_unstemmed | A Comparative Study of Multiple Object Detection Using Haar-Like Feature Selection and Local Binary Patterns in Several Platforms |
| title_short | A Comparative Study of Multiple Object Detection Using Haar-Like Feature Selection and Local Binary Patterns in Several Platforms |
| title_sort | comparative study of multiple object detection using haar like feature selection and local binary patterns in several platforms |
| url | http://dx.doi.org/10.1155/2015/948960 |
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