为克服基于码本模型的目标检测算法在光照变化条件下对检测结果产生的影响，提出了一种融合卡尔曼滤波思想的改进码本算法.该方法在计算图像像素亮度变化时选用了 YUV 颜色空间，使空间坐标轴与亮度变化方向一致，使亮度变化的计算量平均下降了44.9％.同时在建立码本模型时为每个像素初始化一个卡尔曼滤波器，该滤波器利用前后两帧图像亮度信息预测与修正当前像素值，对光照变化有较好的适应性.仿真实验结果表明，该算法与 YUV 码本模型、RGB 码本模型以及 GMM 算法相比在亮度变化的条件下对噪声的抑制作用更强，体现出更好的自适应性.
In order to overcome the influence of illumination changes on detecting results by using co-debook-based object detection algorithm,an improved codebook algorithm that fuses Kalman filtering is proposed in this paper.The algorithm calculates the pixel brightness change in YUV colour space, which corresponds brightness changes with spatial coordinates and makes the calculation of brightness process fallen by an average of 44.9%.Meanwhile,it initializes a Kalman filter for each pixel at the time when the codebook model is established and the filter uses two successive image’s brightness in-formation to predict and correct current pixel value.This method has good adaptability on brightness changes.The experimental results show that this algorithm reflects a better adaptability under the condition of brightness changes,compared with ordinary YVU codebook model,RGB codebook model and GMM method.
参考文献
| [1] | Barron J;Fleet D.Performance of optical flow techniques[J].International J ournal of Computer Vision,199412(01):42-77. |
| [2] | 张水发;丁欢;张文生.双模型背景建模与目标检测研究[J].计算机研究与发展,201148(11):1983-1990. |
| [3] | Lipton A;Fujiyoshi H;Ptail R S.Moving target classification and tracking from real-time video[A].,1998:8-14. |
| [4] | 吴君钦;刘昊;罗勇.静态背景下的运动目标检测算法[J].液晶与显示,201227(05):682-686. |
| [5] | 丁雪梅;王维雅;黄向东.基于差分和特征不变量的运动目标检测与跟踪[J].光学精密工程,200715(04):570-576. |
| [6] | 代科学;李国辉;涂丹.监控视频运动目标检测减背景技术的研究现状和展望[J].中国图象图形学报,200611(07):919-927. |
| [7] | 张红颖;胡正.CenSurE 特征和时空信息相结合的运动目标检测[J].光学精密工程,201321(09):2452-2463. |
| [8] | 袁宝红;张德祥;张玲君.基于 OpenCV 的视频运动目标检测与跟踪[J].计算机系统应用,201322(05):90-93. |
| [9] | 康晓晶;吴谨.基于高斯背景建模的目标检测技术[J].液晶与显示,201025(03):454-459. |
| [10] | Stauffer C;Grimson W.Adaptive background mixture models for real-time tracking[A].,1999:246-252. |
| [11] | Kim K;Chalidabhongse T H;Hardwood D.Background modeling and subtraction by codebook construction[A].Singapore,2004:3061-3064. |
| [12] | 黄进;金炜东;秦娜.基于三维高斯混合码本模型的运动目标检测算法[J].西南交通大学学报,201247(04):662-668. |
| [13] | 杨冰;张为;王猛.基于 Kalman 滤波器运动目标跟踪的火灾监测方法[J].信息技术,2013(07):101-105. |
| [14] | 赵其杰;屠大维;高健.基于 Kalman 滤波的视觉预测目标跟踪及其应用[J].光学精密工程,200816(05):937-942. |
| [15] | 杨金显;袁赣南.基于 MIMU/GPS 的组合导航设计及实验[J].光学精密工程,200816(02):285-294. |
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