基于改进码本模型的视频运动目标检测算法

针对经典码本模型对动态背景适应能力不足及更新算法效率不高的问题,提出了一种用快速冒泡排序和短时滑动窗口改进的码本模型。为了优化码本结构,提高活动码字首次匹配成功概率,设计了一种快速冒泡排序算法对模型码本中码字位置进行快速排序;为了实现像素的均值及偏差的快速跟踪,设计了一种短时滑动窗口算法对像素变化信息进行存储,解决了动态背景的模型自适应问题。实验表明,改进后的算法能够有效适应复杂环境下的背景变化,且具有良好的检测精度和实时性能。

Moving Targets Detecting Algorithm in Video Based on Improved Codebook Model

In order to improve the adaptive ability and update efficiency of the classic codebook background model when detecting moving targets in complex dynamic scene, an improved codebook model algorithm is proposed. Rapid bubble sorting and short sliding window are used in the new algorithm to sort the position of the code words according to their hit times, which can improve the probability of matching the active code word at the first time. And a short sliding time window is used to buffer the change of the pixel and trace the average and deviations, which can effectively solve the adaptive problem of the model in the case of dynamic background. The result of experiment shows that the improved algorithm provides better detection precision and real-time performance in complex environment conditions.