A virtual reality method for digitally reconstructing traffic accidents from videos or still images
| Autor: | Peifeng Jiao, Qifeng Miao, Meichao Zhang, Wei-dong Zhao |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Computer science
Video Recording ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION ComputerApplications_COMPUTERSINOTHERSYSTEMS Virtual reality 01 natural sciences Pathology and Forensic Medicine 03 medical and health sciences Accident (fallacy) 0302 clinical medicine Humans Computer Simulation Computer vision 030216 legal & forensic medicine business.industry Traffic accident 010401 analytical chemistry Accidents Traffic Virtual Reality 0104 chemical sciences Identification (information) 3d space Artificial intelligence business Law Software |
| Zdroj: | Forensic Science International. 292:176-180 |
| ISSN: | 0379-0738 |
| DOI: | 10.1016/j.forsciint.2018.09.019 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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