【作者】 余晓蓉；

【导师】 牛海军；

【作者基本信息】 西安电子科技大学 ， 计算机系统结构， 2010， 硕士

【摘要】 随着信息技术的高速发展以及安全形势的迫切需要,人们对安防设备的智能性要求日益提高,智能视频监控技术已成为当今较为前沿的研究课题。其中,运动目标检测和跟踪技术作为智能视频监控的核心技术日益受到业界的关注。本文在参阅国内外大量相关文献基础上,针对视频监控系统中运动目标检测与跟踪功能难以兼顾可靠性与稳定性的缺点,着重研究视频监控系统中运动目标检测和跟踪的关键算法。在运动目标检测技术方面,针对帧间差分法和背景差分法两种算法的不足,提出了一种帧间差分法与高斯分布背景建模相结合的目标检测算法。在采用帧间差分法中,引入了“分块赋权值”的思想和通过设置上下限两个阈值判断是否出现运动目标,从而提高了目标检测的准确性和鲁棒性,实现了对运动目标的准确检测。在运动目标跟踪技术方面,针对已有粒子滤波算法中存在的退化问题和样本贫化问题,提出了一种针对重采样过程改进的粒子滤波算法,通过合理加权线性组合的方法对粒子权值进行重新赋值,改善了样本集的多样性,提高了粒子滤波算法的估计与跟踪能力。最后,进行了仿真实验,证明了本文提出的目标检测算法和跟踪算法的可行性和有效性。更多还原

【Abstract】 Along with the fast development of information technology as well as the urgent need of security situation, the requirement for higher-powered security equipment is ever-increasing. Now, the techniques of video intelligent surveillance have been become a essential study. Moving target detection technology and tracking technology, which is the core of intelligent video surveillance technology, are becoming increasingly subject to the industry’s attention.On the basis of a large number of reference literature at home and abroad, as to the shortcomings that the moving target detection and tracking capabilities difficult to balance reliability and stability in the intelligent monitoring and control system, we focused on studied the key algorithm of moving target detection and target tracking in the video surveillance system. On the research of moving target detection, as to faults of frame difference method and background difference method, the thesis puts forward a new method that uses the combination of frame difference method with Gaussian distribution background model. In the use of frame difference method, introduced the concept of“Empowerment block value”thought, and by setting the upper and lower threshold to determine whether appears moving targets. This method improves the accuracy and robustness of detection algorithm, implement moving target detection. On the research of moving target tracking, Specific to the particle degradation problem and sample dilution phenomenon of particle filter method, this paper proposes a new particle filter algorithm that as to resample process, by the way of reasonable weighted linear combination to particle weight re-assignment, the algorithm improve the diversity of the samples, and improved the estimation and tracking abilities. Finally, the thesis designs simulation experiment, and the results show the moving detection method and tracking method that this paper proposed are effectiveness.更多还原