Color Video Target Tracking(VTT) Based on Unscented Particle Filter 无迹粒子滤波在基于色彩的视频目标跟踪(VTT)中的应用
Video target tracking is an important topic in the field of intelligent video processing. 视频跟踪是智能视频处理领域一个重要的研究课题,是一项多学科交叉的前沿研究主题。
In view of the above question, this paper mainly focuses on the particle filter technology and intelligent optimization algorithms for video target tracking study in order to improve the performance in real-time, robustness and accuracy of target tracking method. 针对以上问题,本文主要围绕粒子滤波技术和智能优化算法对视频运动目标跟踪进行研究,以提高目标跟踪方法在实时性、鲁棒性和准确性等方面的性能。
Video target tracking is an important research direction in the field of computer vision fields, with a wide range of applications in military guidance, human-computer interaction, and robot visual navigation. 视频目标跟踪(VTT)技术广泛的应用在军事制导、人机交互和机器人视觉导航等方面,是计算机视觉领域的一个重要研究方向。
As an interdisciplinary field based on computer and information technology, video target tracking is now widely used in the areas of video surveillance, robot vision, intelligent transportation, national defense construction, aerospace, national economic construction, and so on. 视频目标跟踪(VTT)是基于计算机技术和信息技术的一门跨学科的领域,目前被广泛应用于视频监控、机器人视觉、智能交通、国防建设和航天航空及国民经济建设各个领域。