【作者】 王卓远； 王一刚； 闫文哲；

【Author】 WANG Zhuo-yuan1 WANG Yi-gang1 YAN Wen-zhe2 1 Zhejiang University Ningbo Institute of Technology, Zhejiang Ningbo, 315000,China 2 Zhejiang University, Zhejiang Hangzhou, 310027,China

【机构】 浙江大学宁波理工学院； 浙江大学；

【摘要】 特殊物体的识别与追踪技术正在越来越受到人们的重视与应用,尤其是在许多高危险区域,使用无人值守的智能识别技术具有极高的效费比和安全性。为了强调探测的实时性与准确性,本文用视频锐化方法来配合直方图检测法,先把我们关注的目标从背景中有效分离出来,然后对图像进行匹配检验,并且用VC++编程进行效果验证。结果表明,我们的方法具有较好的应用前景。更多还原

【Abstract】 In this paper we propose a method to detect the special objects from a series of color video frame. To emphasize the real-time and accuracy of this method, we use the sharpening histogram matching technique to realize the detection effectively. First, we separate the object from the background effectively, then we could do image matching test, finally we program with Visual C++ for simulation. The result shows that our method has a good performance and can be used with higher cost-effective and security for many aspects such as the dangerous areas.更多还原