【作者】 张广超；

【导师】 宋文爱；

【作者基本信息】 中北大学 ， 信号与信息处理， 2008， 硕士

【摘要】 在人所感知的环境信息中,视觉信息占了非常大的比重,其中动态视觉信息更是其主要组成部分。基于视频运动目标检测与跟踪融合了图像处理、模式识别、人工智能、自动控制以及计算机等许多领域的先进技术,已经成为计算机视觉研究的重要领域。目前,在复杂场景、大范围、多目标的情况下,运动目标的检测跟踪的效果不是很理想,需要进一步改善。就此现状,本文实现了在实验室环境下对运动目标进行识别和跟踪的系统,并通过控制云台、镜头将目标始终保持在视场之中。主要讨论了运动目标的识别和运动目标自动跟踪两种情况。使用Haar特征对目标进行识别,只要训练样本充分,可以达到很好的识别效果。在识别的基础上,使用CamShift算法对目标跟踪;将Kalman滤波预测方法融入到CamShift算法中,提高了目标跟踪速度,有效地解决了有干扰情况下的目标快速跟踪问题。应用本文研究的目标自动识别与跟踪方法,建立了基于云台摄像机的快速目标自动识别与跟踪系统,并进行了一系列目标自动识别与跟踪试验,分别实现了在简单背景、复杂背景、有干扰和遮挡等多种场景下的目标自动识别与跟踪。实验结果表明:本文建立的目标自动识别与跟踪算法速度快,跟踪效果好。更多还原

【Abstract】 The visual information, especially the dynamic visual information, occupies most of the composition among the environment information perceived by human beings.Therefore, the dynamic visual information has become an important research field of the computer vision in the perceiving environment. Object detection and tracking based on video-stream, which includes up-to-date technologies like image processing, pattern recognition, artificial intelligence,automatic control, computer science, etc, is becoming an important domain in the area of computer image processing. But currently, the detection and tracking technologies are not perfect in detecting and tracking the moving object in complex environment or in large area with multi-targets. The methods still need to be improved. According to current status,this paper realizes a system which can recognize and track moving object in laboratory, and make the target always lie in the center of imaging frame by controlling a servo devices and lens. In this paper, object’recognizing and objects’automatically tracking have been discussed.Haar feature is used to identify the object, as long as the training samples is enough, the identification can be achieved good results。Tracking object on use of algorithm CamShift based on identification. High-speed tracking problem under disturbed situations could be solved effectively and easily by merging Kalman filter into CamShift algorithm. Applying these methods researched in this thesis, a system with CCD camera, which can detect and track object quickly and automatically, is built. The real-time and efficiency of this system is verified by some object detection and tracking experiments in different scenes such as simple background, complex background, jamming and obstruct.更多还原