原文传递
Finding What the Driver Does.
| 题名： | Finding What the Driver Does. |
| 作者： | ATEV, S.; BIRD, N.; PAPANIKOLOPOULOS, N.; SCHRATER, P.; VEERARAGHAVAN, H. |
| 关键词： | *Driver-behavior; *Alertness-.;Monitoring-; Cameras-; Attention-. |
| 摘要： | Most research depends on detection of driver alertness through monitoring the eyes, face, head or facial expression. This research presents methods for recognizing and summarizing the activities of drivers using the appearance of the drivers position - and changes in position - as fundamental cues, based on the assumption that periods of safe driving are periods of limited motion in the drivers body. The system uses a side-mounted camera and utilizes silhouettes obtained from skincolor segmentation for detecting activities. The unsupervised method uses agglomerative clustering to represent driver activity throughout a sequence, while the supervised learning method uses a Bayesian eigenimage classifier to distinguish between activities. The results validate the advantages of using driver appearance obtained from skincolor segmentation for classification and clustering purposes. Advantages include increased robustness to illumination variations and elimination of the need for tracking and pose determination. |
| 报告类型： | 科技报告 |
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