图 书 馆
利用霍夫变换检测多个对象实例On Detection of Multiple Object Instances using Hough Transforms |
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| 课程网址: | http://videolectures.net/cvpr2010_barinova_odmo/ |
| 主讲教师: | Olga Barinova |
| 开课单位: | 罗蒙诺索夫莫斯科国立大学 |
| 开课时间: | 2010-07-19 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | To detect multiple objects of interest, the methods based on Hough transform use non-maxima supression or mode seeking in order to locate and to distinguish peaks in Hough images. Such postprocessing requires tuning of extra parameters and is often fragile, especially when objects of interest tend to be closely located. In the paper, we develop a new probabilistic framework that is in many ways related to Hough transform, sharing its simplicity and wide applicability. At the same time, the framework bypasses the problem of multiple peaks identification in Hough images, and permits detection of multiple objects without invoking nonmaximum suppression heuristics. As a result, the experiments demonstrate a significant improvement in detection accuracy both for the classical task of straight line detection and for a more modern category-level (pedestrian) detection problem. |
| 关 键 词: | 霍夫变换; 概率框架; 直线检测 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2019-03-12：lxf |
| 阅读次数: | 53 |