一种基于颜色特征的快速自动目标检测方法

Rapid method of object detection based on color feature

为快速检测目标,本文提出了一种基于颜色特征的方法。该方法使用人工神经网络进行颜色分类,在多分辨率下依据定位标识器最显著的特征进行初次搜索,得到一系列初始目标,然后在原图中对它们进行特征提取,再使用人工神经网络进行真伪目标判别。实验证明,该方法可以准确、实时地检测目标。

Object detection systems are widely used in many fields. To speed up object detection, a rapid method based on color feature is presented in this paper. Artificial neural network is used for color classification. A series of original objects are gained through searching the most outstanding feature of the marker based on multi-resolution. A set of features obtained from these original objects in the original image, and artificial neural network are used for object classification. Experimental results prove the effectiveness of this method.