Full metadata record
DC Field | Value | Language |
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dc.contributor.author | Kim, Hyunduk | - |
dc.contributor.author | Sohn, Myoung-Kyu | - |
dc.contributor.author | Lee, Sang-Heon | - |
dc.date.accessioned | 2022-11-03T07:30:04Z | - |
dc.date.available | 2022-11-03T07:30:04Z | - |
dc.date.created | 2022-07-04 | - |
dc.date.issued | 2022-06 | - |
dc.identifier.issn | 1976-913X | - |
dc.identifier.uri | http://hdl.handle.net/20.500.11750/17041 | - |
dc.description.abstract | A reliable automatic passenger counting (APC) system is a key point in transportation related to the efficient scheduling and management of transport routes. In this study, we introduce a lightweight head detection network using deep learning applicable to an embedded system. Currently, object detection algorithms using deep learning have been found to be successful. However, these algorithms essentially need a graphics processing unit (GPU) to make them performable in real-time. So, we modify a Tiny-YOLOv3 network using certain techniques to speed up the proposed network and to make it more accurate in a non-GPU environment. Finally, we introduce an APC system, which is performable in real-time on embedded systems, using the proposed head detection algorithm. We implement and test the proposed APC system on a Samsung ARTIK 710 board. The experimental results on three public head datasets reflect the detection accuracy and efficiency of the proposed head detection network against Tiny-YOLOv3. Moreover, to test the proposed APC system, we measured the accuracy and recognition speed by repeating 50 instances of entering and 50 instances of exiting. These experimental results showed 99% accuracy and a 0.041-second recognition speed despite the fact that only the CPU was used © 2022 KIPS | - |
dc.language | English | - |
dc.publisher | Korea Information Processing Society | - |
dc.title | Development of a Real-Time Automatic Passenger Counting System using Head Detection Based on Deep Learning | - |
dc.type | Article | - |
dc.identifier.doi | 10.3745/JIPS.04.0246 | - |
dc.identifier.scopusid | 2-s2.0-85150161706 | - |
dc.identifier.bibliographicCitation | Journal of Information Processing Systems, v.18, no.3, pp.428 - 442 | - |
dc.identifier.kciid | ART002856687 | - |
dc.description.isOpenAccess | TRUE | - |
dc.subject.keywordAuthor | Automatic Passenger Counting | - |
dc.subject.keywordAuthor | Deep Learning | - |
dc.subject.keywordAuthor | Embedded System | - |
dc.subject.keywordAuthor | Head Detection | - |
dc.citation.endPage | 442 | - |
dc.citation.number | 3 | - |
dc.citation.startPage | 428 | - |
dc.citation.title | Journal of Information Processing Systems | - |
dc.citation.volume | 18 | - |
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