A real-time omnidirectional target detection system based on FPGA.

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Title: A real-time omnidirectional target detection system based on FPGA.
Authors: Zhang, Zhe1 (AUTHOR), Li, Huan1 (AUTHOR) huanli@xidian.edu.cn, Yu, Yue1 (AUTHOR), Qin, Hanlin1 (AUTHOR), Wang, Dabao2 (AUTHOR), Zhou, Huixin1 (AUTHOR), Song, Shangzhen1 (AUTHOR), Liu, Yanyan3 (AUTHOR)
Source: Multimedia Tools & Applications. Aug2023, Vol. 82 Issue 20, p30929-30947. 19p.
Subjects: Field programmable gate arrays, PCI bus (Computer bus), Cache memory
Abstract: The Field Programmable Gate Array (FPGA) has been widely used in time-critical tasks such as object detection and tracking. To better accomplish the above tasks, the detection range of the system becomes more and more important. Therefore, a real-time omnidirectional target detection system was carried out. In this system, a dim and small target detection method based on cascaded guided image filter (CGIF) is proposed. Our FPGA-based system shows excellent performance in dim and small target detection with the high detection rate (94%) and the low false alarm rate (5%). First, a target detection algorithm based on cascaded guided image filter is introduced, where the details of large objects can be well suppressed, and the targets are extracted through background suppression and clustering. Second, we design an FPGA-based system, which contains multichannel videos as input through Peripheral Component Interconnect Express (PCIE) interfaces, based on mother-daughter architecture for real-time implementation. Moreover, we also propose a one-line cache display method to exhibit the detection results, which can save much storage space with the same display effect compared with the traditional cache-based scheme. The experimental results show that the proposed system has promising performance and efficiency. [ABSTRACT FROM AUTHOR]
Copyright of Multimedia Tools & Applications is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: A real-time omnidirectional target detection system based on FPGA.
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  Data: <searchLink fieldCode="AR" term="%22Zhang%2C+Zhe%22">Zhang, Zhe</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Li%2C+Huan%22">Li, Huan</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> huanli@xidian.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Yu%2C+Yue%22">Yu, Yue</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Qin%2C+Hanlin%22">Qin, Hanlin</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wang%2C+Dabao%22">Wang, Dabao</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhou%2C+Huixin%22">Zhou, Huixin</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Song%2C+Shangzhen%22">Song, Shangzhen</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Liu%2C+Yanyan%22">Liu, Yanyan</searchLink><relatesTo>3</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Multimedia+Tools+%26+Applications%22">Multimedia Tools & Applications</searchLink>. Aug2023, Vol. 82 Issue 20, p30929-30947. 19p.
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– Name: Abstract
  Label: Abstract
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  Data: The Field Programmable Gate Array (FPGA) has been widely used in time-critical tasks such as object detection and tracking. To better accomplish the above tasks, the detection range of the system becomes more and more important. Therefore, a real-time omnidirectional target detection system was carried out. In this system, a dim and small target detection method based on cascaded guided image filter (CGIF) is proposed. Our FPGA-based system shows excellent performance in dim and small target detection with the high detection rate (94%) and the low false alarm rate (5%). First, a target detection algorithm based on cascaded guided image filter is introduced, where the details of large objects can be well suppressed, and the targets are extracted through background suppression and clustering. Second, we design an FPGA-based system, which contains multichannel videos as input through Peripheral Component Interconnect Express (PCIE) interfaces, based on mother-daughter architecture for real-time implementation. Moreover, we also propose a one-line cache display method to exhibit the detection results, which can save much storage space with the same display effect compared with the traditional cache-based scheme. The experimental results show that the proposed system has promising performance and efficiency. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
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  Data: <i>Copyright of Multimedia Tools & Applications is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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              Text: Aug2023
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