Analysis of Abnormal Vehicle Behavior Based on Trajectory Fitting
| العنوان: | Analysis of Abnormal Vehicle Behavior Based on Trajectory Fitting |
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| المؤلفون: | Enyuan Jiang, Xuejun Wang |
| المصدر: | Journal of Computer and Communications. :13-18 |
| بيانات النشر: | Scientific Research Publishing, Inc., 2015. |
| سنة النشر: | 2015 |
| مصطلحات موضوعية: | Computer science, business.industry, Brake, Trajectory, Process (computing), Computer vision, Trajectory analysis, Kalman filter, Artificial intelligence, Vehicle behavior, Abnormality, Tracking (particle physics), business |
| الوصف: | In order to analysis the abnormal vehicle behavior by trajectory fitting effectively, the whole process is divided into three steps: target detection and tracking, vehicle trajectory analysis, vehicle behavior detection. Firstly, a three-frame-differencing method is used to achieve initial target location and an improved tracking algorithm based on Kalman predictor is proposed; then, an adaptive segmented linear fitting algorithm is proposed to achieve vehicle trajectory fitting; finally, two parameters including the rate of velocity variation and the rate of direction variation are used to establish vehicle abnormal behavior detection model. Experiment result shows that the three high dangerous vehicle behaviors in road surveillance videos can be detected effectively: sharp brake, sharp turn, and sharp turn brake. |
| تدمد: | 2327-5227 2327-5219 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_________::b3024ed018a1b4420ae30a4f741b2f3d https://doi.org/10.4236/jcc.2015.311003 |
| حقوق: | OPEN |
| رقم الأكسشن: | edsair.doi...........b3024ed018a1b4420ae30a4f741b2f3d |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 23275227 23275219 |
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