首页 /研究 /Particle filter planar target tracking with a monocular camera for mobile robots
OTHER

Particle filter planar target tracking with a monocular camera for mobile robots

Yu‐Cheng Chou, Madoka Nakajima

发表年份
2016
引用次数
9

摘要

AbstractThis paper presents an effective and simple target tracking approach called PSIPT (Particle filter Single Image based Planar Target tracking). Compared with other works, the uniqueness of PSIPT includes: (1) only a single color camera provides the images to be processed; (2) the particle filter does not perform data fusion calculations; (3) the distance evaluation carried out in the particle filter does not need the camera’s intrinsic and extrinsic parameters. Meanwhile, this paper also reveals that, under different target shapes and cameras, a high degree of negative linear dependence remains between: (1) a target’s pixel height and vertical distance; (2) a target’s vertical distance and PWHD (Pixel-Width-to-Horizontal Distance) ratio. According to the experimental results, PSIPT performs better than its Kalman filter variant in both the L-shape and S-shape tracking experiments. In addition, PSIPT has moderate performance in the target missing surveillance experiment. Moreover, a hybrid and enhan...

关键词

Computer scienceComputer visionPlanarTracking (education)Artificial intelligenceParticle filterMobile robotMonocularRobotFilter (signal processing)

相关论文

查看 OTHER 分类全部论文