摘要
该文首先提出了基于色彩信息的匹配算法。直方图具有较好的稳定性,不受目标形状和比例变化的影响,但是目前基于直方图相关算法的时间复杂度较高,针对这种情况,提出一种改进色彩信息的匹配算法,该算法实时性较高。为进一步提高处理速度和抗干扰性,在搜索过程中,通过Kalman滤波器的预测运动,减少搜索范围。实验验证,这一算法具有很好的有效性和实用性。
In this paper, a Algorithm based on hue information was put forward, Histogram character is not affected by object figure＇ s variance and scale and has good stability. But histogram algorithm is complex, in the case , a change matching Algorithm of hue information is put forward . The algorithm has a better real-time property. To enhance the manage pace more, Kalman filter is used to estimate target motion parameter, which can reduce searching scope. The experiment validate the algorithm has good validity and practicability.
出处
《计算机安全》
2008年第8期52-54,共3页
Network & Computer Security
