图 书 馆
Stixmentation - 基于概率混合的交通场景标注Stixmentation - Probabilistic Stixel based Traffic Scene Labeling |
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| 课程网址: | http://videolectures.net/bmvc2012_erbs_stixmentation/ |
| 主讲教师: | Friedrich Erbs |
| 开课单位: | 戴姆勒公司 |
| 开课时间: | 2012-10-09 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | The detection of moving objects like vehicles, pedestrians or bicycles from a mobile platform is one of the most challenging and most important tasks for driver assistance and safety systems. For this purpose, we present a multi-class traffic scene segmentation approach based on the Dynamic Stixel World, an efficient super-pixel object representation. In this approach, each Stixel is assigned either to a quantized maneuver motion class like oncoming, or left-moving or to static background. The formulation integrates multiple 3D and motion features as well as spatio-temporal prior knowledge in a probabilistic conditional random field (CRF) framework. The real-time capable method is evaluated quantitatively in various challenging, cluttered urban traffic scenes. The experimental results yield highly accurate segmentation of urban traffic scenarios without the need for any manual parameter adjustments. |
| 关 键 词: | 交通场景分割; 城市交通场景 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2020-09-28：heyf |
| 阅读次数: | 54 |