A Driver’s Calling Behavior Detection Method Based on Deep Learning
In order to prevent the driver from being distracted by the cell phone call, real-time monitoring of drivers’ behavior through video analysis is especially important. At present, driver’s calling behavior detection methods are prone to object occlusion, image rotation, illumination change and are di...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | zho |
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Editorial Office of Control and Information Technology
2019-01-01
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| Series: | Kongzhi Yu Xinxi Jishu |
| Subjects: | |
| Online Access: | http://ctet.csrzic.com/thesisDetails#10.13889/j.issn.2096-5427.2019.06.400 |
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| _version_ | 1849224881888034816 |
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| author | XIONG Qunfang LIN Jun YUE Wei LIU Shiwang LUO Xiao DING Chi |
| author_facet | XIONG Qunfang LIN Jun YUE Wei LIU Shiwang LUO Xiao DING Chi |
| author_sort | XIONG Qunfang |
| collection | DOAJ |
| description | In order to prevent the driver from being distracted by the cell phone call, real-time monitoring of drivers’ behavior through video analysis is especially important. At present, driver’s calling behavior detection methods are prone to object occlusion, image rotation, illumination change and are difficult to extract deep features of the image, which degrade the detection accuracy. This paper proposed a driver’s cell phone calling behavior detection algorithm based on deep learning. The algorithm comprises two steps. Firstly, face detection and face tracking is supported by PCN (progressive calibration networks) to determine the calling detection area. Secondly, the driver’s cell phone calling behavior detection method based on convolutional neural network is used to detect the cell phone in the candidate area. Experimental test results show that the proposed algorithm has high robutness, and its accuracy reaches 96.56%, the false positive rate reaches 1.52%, and the processing speed reaches 25 frames per second. It can effectively detect the driver’s calling behavion. |
| format | Article |
| id | doaj-art-7203cae01a92460ea090e826ec2c92c4 |
| institution | Kabale University |
| issn | 2096-5427 |
| language | zho |
| publishDate | 2019-01-01 |
| publisher | Editorial Office of Control and Information Technology |
| record_format | Article |
| series | Kongzhi Yu Xinxi Jishu |
| spelling | doaj-art-7203cae01a92460ea090e826ec2c92c42025-08-25T06:52:04ZzhoEditorial Office of Control and Information TechnologyKongzhi Yu Xinxi Jishu2096-54272019-01-0136535682327838A Driver’s Calling Behavior Detection Method Based on Deep LearningXIONG QunfangLIN JunYUE WeiLIU ShiwangLUO XiaoDING ChiIn order to prevent the driver from being distracted by the cell phone call, real-time monitoring of drivers’ behavior through video analysis is especially important. At present, driver’s calling behavior detection methods are prone to object occlusion, image rotation, illumination change and are difficult to extract deep features of the image, which degrade the detection accuracy. This paper proposed a driver’s cell phone calling behavior detection algorithm based on deep learning. The algorithm comprises two steps. Firstly, face detection and face tracking is supported by PCN (progressive calibration networks) to determine the calling detection area. Secondly, the driver’s cell phone calling behavior detection method based on convolutional neural network is used to detect the cell phone in the candidate area. Experimental test results show that the proposed algorithm has high robutness, and its accuracy reaches 96.56%, the false positive rate reaches 1.52%, and the processing speed reaches 25 frames per second. It can effectively detect the driver’s calling behavion.http://ctet.csrzic.com/thesisDetails#10.13889/j.issn.2096-5427.2019.06.400deep learningconvolutional neural networkface detectioncell phone usage detection |
| spellingShingle | XIONG Qunfang LIN Jun YUE Wei LIU Shiwang LUO Xiao DING Chi A Driver’s Calling Behavior Detection Method Based on Deep Learning Kongzhi Yu Xinxi Jishu deep learning convolutional neural network face detection cell phone usage detection |
| title | A Driver’s Calling Behavior Detection Method Based on Deep Learning |
| title_full | A Driver’s Calling Behavior Detection Method Based on Deep Learning |
| title_fullStr | A Driver’s Calling Behavior Detection Method Based on Deep Learning |
| title_full_unstemmed | A Driver’s Calling Behavior Detection Method Based on Deep Learning |
| title_short | A Driver’s Calling Behavior Detection Method Based on Deep Learning |
| title_sort | driver s calling behavior detection method based on deep learning |
| topic | deep learning convolutional neural network face detection cell phone usage detection |
| url | http://ctet.csrzic.com/thesisDetails#10.13889/j.issn.2096-5427.2019.06.400 |
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