A Survey of Computer Vision Based Pedestrian Detection for Driver Assistance Systems
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摘要: 基于计算机视觉的行人检测由于其在车辆辅助驾驶系统中的重要应用价值成为当前计算机视觉和智能车辆领域最为活跃的研究课题之一. 其核心是利用安装在运动车辆上的摄像机检测行人,从而估计出潜在的危险以便采取策略保护行人.本文在对这一问题存在的困难进行分析的基础上,对相关文献进行综述. 基于视觉的行人检测系统一般包括两个模块:感兴趣区分割和目标识别,本文介绍了这两个模块所采用的一些典型方法,分析了每种方法的原理和优缺点. 最后对性能评估和未来的研究方向等一系列关键问题给予了介绍.Abstract: Computer vision based pedestrian detection has become one of the hottest topics in the domain of computer vision and intelligent vehicle because of its potential applications in driver assistance systems. It aims at detecting pedestrians appearing ahead of the vehicle using a vehicle-mounted camera, so as to assess the danger and take actions to protect pedestrians in case of danger. In this paper, we give detailed analysis of the diffculties lying in the problem and review most of the literature. A typical pedestrian detection system includes two modules: regions of interest (ROIs) segmentation and object recognition. This paper introduces the principle of typical methods of the two modules and analyzes their respective pros and cons. Finally, we give detailed analysis of performance evaluation and propose some research directions.
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Key words:
- Pedestrian detection /
- driver assistance system /
- ROIs segmentation /
- object recognition
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