原文传递
Algorithms for Vehicle Classification; Final research rept. 1999-2000
| 题名： | Algorithms for Vehicle Classification; Final research rept. 1999-2000 |
| 作者： | Gupta, S.; Papanikolopoulos, N. P. |
| 关键词： | Algorithms; Vehicle classification; Image processing; Vehicle detectors; Vehicle length; Vehicle width; Tracking; Identification; Sensors |
| 摘要： | This report presents algorithms for vision-based detection and classification of vehicles in monocular image sequences of traffic scenes recorded by a stationary camera. Processing occurs at three levels: raw images, blob level, and vehicle level. Vehicles are modeled at rectangular patches with certain dynamic behavior. The proposed method is based on the establishment of correspondences among blobs and vehicles, as the vehicles move through the image sequence. The system can classify vehicles into two categories, trucks and non-trucks, based on the dimensions of the vehicles. In addition to the category of each vehicle, the system calculates the velocities of the vehicles and generates counts of vehicles in each lane over a user-specified time interval, the total count of each type of vehicle, and the average velocity of each lane during this interval. |
| 总页数： | 128p |
| 报告类型： | 科技报告 |
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