In this paper, we present a novel algorithm for image-based maritime obstacle detection
using global sparsity potentials (GSPs), in which" global" refers to the entire sea area. The …

Hough-based voting approaches have been successfully applied to object detection. While
these methods can be efficiently implemented by random forests, they estimate the …

Hough Forests have demonstrated effective performance in object detection tasks, which
has potential to translate to exciting opportunities in pattern search. However, current …

This paper presents a new algorithm for image based obstacle detection from Unmanned
Surface Vehicles (USV) by exploring the global sparseness of image patches. The horizon …

应用Hough 森林进行目标检测, 并对经典Hough 森林存在的不足进行改进. 借助Boosting
算法的思想, 学习图片块样本和目标对象样本的自适应权重分布, 并分别优化用于构造随机树和 …

Hough-based voting approaches have been widely used to solve many detection problems
such as object and action detection. These approaches for action detection cast votes for …

Building autonomous systems that enable machines to understand and interpret images is a
long-standing goal in the field of computer vision. Solving this problem will have a huge …