项目名称: 球形视觉模型及全动态场景目标跟踪方法研究
项目编号: No.61201309
项目类型: 青年科学基金项目
立项/批准年度: 2013
项目学科: 电子学与信息系统
项目作者: 赵巍
作者单位: 哈尔滨工业大学
项目金额: 24万元
中文摘要: 为提高成像设备在运动中对全场景进行监视和分析的效率和效果,课题以分布于球形表面的摄像机阵列获得的视频数据为对象,研究球面机器视觉模型,以新的视角- - 曲线空间中的视频处理和分析- - 研究球面机器视觉的形成机制和基础应用环节中的理论问题,以及全动态场景中目标全方位跟踪方法。首先,研究从球形摄像机阵列获得的高维图像集合到球面图像之间的数据优化传递关系,建立球面视觉的形成方法和曲线空间中更具一般性的图像处理理论和方法;进而研究成像设备运动过程中,寄生运动对成像过程的影响,提出从观测运动中相对运动的分离方法和寄生运动的抑制方法,提出球面立体视觉的形成机制、误差传递方法以及精度估计模型;在此基础上研究全动态场景中目标跟踪线索的选择机制和描述方法以及曲线空间中连续形变目标的立体跟踪方法。球面视觉是实现全动态场景监视和连续形变目标全方位不间断跟踪的有效途径。
中文关键词: 球形视觉;曲面视觉及折返射成像;大场景目标跟踪;人群目标;深空天体目标
英文摘要: To enhance the effectiveness and performance of mobile imaging devices in scene monitoring and video data analysis, we focus on the data obtained from a group of cameras that distributes on the surface of a sphere, in order to research the computer vision model of spherical surface. Here the formation mechanism of sphere vision, as well as its theoretical problem in applications, is studied by projecting the data onto curve space to implement the task of video processing and analysis. Our aim is to propose and verify a stereo tracking theory and approach to pinpoint the target to be chased in omni-direction nowhere static scene. First, the multi-dimension data obtained from spherical camera array would be transited to a sphere image. We would study the data transitive relations and establish a generalized theory and approach in sphere vision formation and in curve space image processing. Furthermore, since the parasitic motions would impact on the imaging process when the devices move, a method of extracting relative movement from observations and that of parasitic motions restraining will be proposed; meanwhile, a spherical volume vision formation mechanism, an error transition-based method and precision estimation model will be given. And on that basis, we would study the selection mechanism of target chasing
英文关键词: Spherical Vision;free-form surface vision and catadioptric imaging;large scale scene target tracking;crowed target;celestial body target