Integrating Appearance and Edge Features for Sedan Vehicle Detection in the Blind-Spot Area
Integrating Appearance and Edge Features for Sedan Vehicle Detection in the Blind-Spot Area
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DOI：
10.1109/tits.2011.2182649
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发表时间：
2012-06-01
影响因子：
8.5
通讯作者：
Lo, Min-Fang
中科院分区：
文献类型：
--
作者：
Lin, Bin-Feng;Chan, Yi-Ming;Lo, Min-Fang
在没有关于盲点区域的信息的情况下改变车道可能是危险的。我们提出了一个基于视觉的车辆检测系统的车道变换辅助系统，以监测潜在的轿车在盲点区域。为了达到我们的目的，我们选择了足够的功能，这是直接从车辆图像，检测可能的车辆在盲点区域。这是具有挑战性的，因为车辆的视角沿着随着其在整个盲点区域中的位置而显著变化。为了科普这个问题，我们提出了一种方法，结合联合收割机两种基于部分的特征，是相关的车辆的特性，我们建立多个模型的基础上，不同的观点的车辆。每个特征的位置信息被合并以帮助构造检测器并估计车辆存在的合理位置。实验表明，该系统能够可靠地检测出盲区内的各种轿车。
Changing lanes while having no information about the blind spot area can be dangerous. We propose a vision-based vehicle detection system for a lane changing assistance system to monitor the potential sedan vehicle in the blind-spot area. To serve our purpose, we select adequate features, which are directly obtained from vehicle images, to detect possible vehicles in the blind-spot area. This is challenging due to the significant change in the view angle of a vehicle along with its location throughout the blind-spot area. To cope with this problem, we propose a method to combine two kinds of part-based features that are related to the characteristics of the vehicle, and we build multiple models based on different viewpoints of a vehicle. The location information of each feature is incorporated to help construct the detector and estimate the reasonable position of the presence of the vehicle. The experiments show that our system is reliable in detecting various sedan vehicles in the blind-spot area.