A virtual reality method for digitally reconstructing traffic accidents from videos or still images
[Display omitted] •The perfect combination of real accident video analysis and 3D restoration technology with high accuracy.•The method is used with multi-source data from single image to vehicle CCTV videos.•The method in the manuscript is practical and can be popularized easily. With an increase i...
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| Veröffentlicht in: | Forensic science international 2018-11, Vol.292, p.176-180 |
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| container_title | Forensic science international |
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| creator | Jiao, Peifeng Miao, Qifeng Zhang, Meichao Zhao, Weidong |
| description | [Display omitted]
•The perfect combination of real accident video analysis and 3D restoration technology with high accuracy.•The method is used with multi-source data from single image to vehicle CCTV videos.•The method in the manuscript is practical and can be popularized easily.
With an increase in the number of traffic accidents and enhanced attention to the rule of law, technical appraisement to reconstruct traffic accidents is attracting increasing attention. Accident videos are important aspects in identification; however, we cannot reconstruct an accident scene onsite using video for many reasons. In this paper, we introduce a computer-based virtual reality method that can digitally reconstruct a traffic accident. This method employs accident videos to perform a three-dimensional (3D) reconstruction of accident scenes. Using video screenshots, it constructs a model of humans and vehicles in 3D space to achieve the goal of dynamic restoration. The results indicate that this method has relatively high accuracy, requires little time and is easy to use. In this paper, we analyse the sources of errors for this method and summarize the application conditions. |
| doi_str_mv | 10.1016/j.forsciint.2018.09.019 |
| format | Article |
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•The perfect combination of real accident video analysis and 3D restoration technology with high accuracy.•The method is used with multi-source data from single image to vehicle CCTV videos.•The method in the manuscript is practical and can be popularized easily.
With an increase in the number of traffic accidents and enhanced attention to the rule of law, technical appraisement to reconstruct traffic accidents is attracting increasing attention. Accident videos are important aspects in identification; however, we cannot reconstruct an accident scene onsite using video for many reasons. In this paper, we introduce a computer-based virtual reality method that can digitally reconstruct a traffic accident. This method employs accident videos to perform a three-dimensional (3D) reconstruction of accident scenes. Using video screenshots, it constructs a model of humans and vehicles in 3D space to achieve the goal of dynamic restoration. The results indicate that this method has relatively high accuracy, requires little time and is easy to use. In this paper, we analyse the sources of errors for this method and summarize the application conditions.</description><identifier>ISSN: 0379-0738</identifier><identifier>EISSN: 1872-6283</identifier><identifier>DOI: 10.1016/j.forsciint.2018.09.019</identifier><identifier>PMID: 30321743</identifier><language>eng</language><publisher>Ireland: Elsevier B.V</publisher><subject>Accidents, Traffic ; Accuracy ; Computer applications ; Computer Simulation ; Data collection ; Error ; Experiments ; Forensic sciences ; Humans ; Identification ; Image reconstruction ; Location restoration ; Methods ; NMR ; Nuclear magnetic resonance ; Registration ; Scanners ; Software ; Traffic accidents ; Traffic accidents & safety ; Vehicles ; Video ; Virtual Reality</subject><ispartof>Forensic science international, 2018-11, Vol.292, p.176-180</ispartof><rights>2018 Elsevier B.V.</rights><rights>Copyright © 2018 Elsevier B.V. All rights reserved.</rights><rights>Copyright Elsevier Limited Nov 2018</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c422t-3746557dc59869304a40593e40ee84faa678ad339dd6e3a5e43e7c8ffa9f1fa93</citedby><cites>FETCH-LOGICAL-c422t-3746557dc59869304a40593e40ee84faa678ad339dd6e3a5e43e7c8ffa9f1fa93</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.proquest.com/docview/2128524952?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>314,778,782,3539,27907,27908,45978,64366,64368,64370,72220</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/30321743$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Jiao, Peifeng</creatorcontrib><creatorcontrib>Miao, Qifeng</creatorcontrib><creatorcontrib>Zhang, Meichao</creatorcontrib><creatorcontrib>Zhao, Weidong</creatorcontrib><title>A virtual reality method for digitally reconstructing traffic accidents from videos or still images</title><title>Forensic science international</title><addtitle>Forensic Sci Int</addtitle><description>[Display omitted]
•The perfect combination of real accident video analysis and 3D restoration technology with high accuracy.•The method is used with multi-source data from single image to vehicle CCTV videos.•The method in the manuscript is practical and can be popularized easily.
With an increase in the number of traffic accidents and enhanced attention to the rule of law, technical appraisement to reconstruct traffic accidents is attracting increasing attention. Accident videos are important aspects in identification; however, we cannot reconstruct an accident scene onsite using video for many reasons. In this paper, we introduce a computer-based virtual reality method that can digitally reconstruct a traffic accident. This method employs accident videos to perform a three-dimensional (3D) reconstruction of accident scenes. Using video screenshots, it constructs a model of humans and vehicles in 3D space to achieve the goal of dynamic restoration. The results indicate that this method has relatively high accuracy, requires little time and is easy to use. In this paper, we analyse the sources of errors for this method and summarize the application conditions.</description><subject>Accidents, Traffic</subject><subject>Accuracy</subject><subject>Computer applications</subject><subject>Computer Simulation</subject><subject>Data collection</subject><subject>Error</subject><subject>Experiments</subject><subject>Forensic sciences</subject><subject>Humans</subject><subject>Identification</subject><subject>Image reconstruction</subject><subject>Location restoration</subject><subject>Methods</subject><subject>NMR</subject><subject>Nuclear magnetic resonance</subject><subject>Registration</subject><subject>Scanners</subject><subject>Software</subject><subject>Traffic accidents</subject><subject>Traffic accidents & safety</subject><subject>Vehicles</subject><subject>Video</subject><subject>Virtual Reality</subject><issn>0379-0738</issn><issn>1872-6283</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNqFkUuPFCEUhYnROO3oX1ASN26q5FUFLDuT8ZFM4kbXBOHS0qGKEahJ-t9Lp8dZuHEDC75z7uUchN5RMlJC54_HMeRSXYxrGxmhaiR6JFQ_QzuqJBtmpvhztCNc6oFIrq7Qq1qPhJBpYvNLdMUJZ1QKvkNujx9iaZtNuIBNsZ3wAu1X9rgPwD4eYrMpnfqjy2ttZXMtrgfcig0hOmydix7WVnEoeelWHnLFXVlbTAnHxR6gvkYvgk0V3jze1-jHp9vvN1-Gu2-fv97s7wYnGGsDl2KeJundpNWsORFWkElzEARAiWDtLJX1nGvvZ-B2AsFBOhWC1YH2g1-jDxff-5J_b1CbWWJ1kJJdIW_VMMqIFFoJ2dH3_6DHvJW1b3em1MSEnlin5IVyJddaIJj70r9UToYSc-7BHM1TD-bcgyHa9B668u2j__ZzAf-k-xt8B_YXAHogDxGK6S6wOvCxR92Mz_G_Q_4AwjKe4Q</recordid><startdate>20181101</startdate><enddate>20181101</enddate><creator>Jiao, Peifeng</creator><creator>Miao, Qifeng</creator><creator>Zhang, Meichao</creator><creator>Zhao, Weidong</creator><general>Elsevier B.V</general><general>Elsevier Limited</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QP</scope><scope>7RV</scope><scope>7U7</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB0</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M2O</scope><scope>M7P</scope><scope>MBDVC</scope><scope>NAPCQ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope><scope>7X8</scope></search><sort><creationdate>20181101</creationdate><title>A virtual reality method for digitally reconstructing traffic accidents from videos or still images</title><author>Jiao, Peifeng ; 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•The perfect combination of real accident video analysis and 3D restoration technology with high accuracy.•The method is used with multi-source data from single image to vehicle CCTV videos.•The method in the manuscript is practical and can be popularized easily.
With an increase in the number of traffic accidents and enhanced attention to the rule of law, technical appraisement to reconstruct traffic accidents is attracting increasing attention. Accident videos are important aspects in identification; however, we cannot reconstruct an accident scene onsite using video for many reasons. In this paper, we introduce a computer-based virtual reality method that can digitally reconstruct a traffic accident. This method employs accident videos to perform a three-dimensional (3D) reconstruction of accident scenes. Using video screenshots, it constructs a model of humans and vehicles in 3D space to achieve the goal of dynamic restoration. The results indicate that this method has relatively high accuracy, requires little time and is easy to use. In this paper, we analyse the sources of errors for this method and summarize the application conditions.</abstract><cop>Ireland</cop><pub>Elsevier B.V</pub><pmid>30321743</pmid><doi>10.1016/j.forsciint.2018.09.019</doi><tpages>5</tpages></addata></record> |
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| ispartof | Forensic science international, 2018-11, Vol.292, p.176-180 |
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| source | MEDLINE; ScienceDirect Journals (5 years ago - present); ProQuest Central UK/Ireland |
| subjects | Accidents, Traffic Accuracy Computer applications Computer Simulation Data collection Error Experiments Forensic sciences Humans Identification Image reconstruction Location restoration Methods NMR Nuclear magnetic resonance Registration Scanners Software Traffic accidents Traffic accidents & safety Vehicles Video Virtual Reality |
| title | A virtual reality method for digitally reconstructing traffic accidents from videos or still images |
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