Gaussian processes; automobiles; image motion analysis; mixture models; object tracking; sensor fusion; traffic engineering computing; Gaussian mixture probability hypothesis density filter; cars; clutter problems; collaborative GM-PHD hlter; collaborative sensor fusion algorithm; curved motion; detect-before-track fashion; generalized covariance intersection; high-fidelity simulator; multiobject tracking; occlusion problems; rectangular shape model; straight motion; Approximation methods; Automobiles; Collaboration; Robot sensing systems; Shape; Target tracking;
机译:高斯混合概率假设密度滤波中的近距离目标跟踪新融合算法。
机译:使用高斯混合概率假设密度过滤器自动跟踪海豚哨声
机译:多目标跟踪中的高斯混合:看高斯混合概率假设密度和综合轨道分割
机译:高斯混合概率假设密度过滤器的多目标协同传感器融合算法
机译:概率假设密度滤波器和多假假设跟踪器的比较跟踪多种类型的目标
机译:多目标跟踪的自适应协同高斯混合概率假设密度滤波器
机译:顺序传感器融合组合概率假设密度和封闭相关滤波的视频数据中的多对象跟踪