Issue Date: 12-13 March 2010rnrntOn page(s): rnt244rnttrn- 246rnrnrnLocation: Kerala, IndiarnrnPrint ISBN: 978-1-4244-5956-8rnrnrnrnttrnDigital Object Identifier: href='http://dx.doi.org/10.1109/ITC.2010.13' target='_blank'>10.1109/ITC.2010.13 rnrnDate of Current Version: trnrnt2010-05-06 14:33:56.0rnrnt rntt class="body-text">rntname="Abstract">>Abstractrn>This paper presents an approach to identify the vehicle in the static images using color and corner map. The detection of vehicles in a traffic scene can address wide range of traffic problems. Here an attempt has been made to reduce the search time to find the possible vehicle candidates thereby reducing the computation time without a full search. A color transformation is;
Color map; corner map; vehicle detection;
机译:利用车辆检测功能将广域运动图像自动配准到矢量道路地图
机译:基于3D深度图和深神经网络的航空图像中的车辆检测
机译:通过多级末端皮质细胞组合对彩色图像进行角点检测
机译:使用颜色和角图在静态图像中进行车辆检测
机译:基于中值的主成分分析,使用布尔函数的偏导数和新的相关颜色相似性度量对彩色图像进行边缘检测。
机译:基于光谱归一化和距离映射器的基于高光谱图像的夜间车灯检测用于智能大灯控制
机译:利用时空图和角点检测方法对街道停放车辆进行对比分析和检测
机译:图像作为嵌入地图和最小表面:电影,颜色和体积医学图像