Detection and localization of regions of images that attract immediate human visual attention
is currently an intensive area of research in computer vision. The capability of automatic …

Digital topology and geometry refers to the use of topologic and geometric properties and
features for images defined in digital grids. Such methods have been widely used in many …

We propose a highly efficient, yet powerful, salient object detection method based on the
Minimum Barrier Distance (MBD) Transform. The MBD transform is robust to pixel-value …

A novel Boolean Map based Saliency (BMS) model is proposed. An image is characterized
by a set of binary images, which are generated by randomly thresholding the image's color …

In this paper, we present a real-time salient object detection system based on the minimum
spanning tree. Due to the fact that background regions are typically connected to the image …

In this paper, we propose a novel MoNet model to deeply exploit motion cues for boosting
video object segmentation performance from two aspects, ie, frame representation learning …

Most recent 6D object pose estimation methods first use object detection to obtain 2D
bounding boxes before actually regressing the pose. However, the general object detection …

This paper focuses on the problem of vision-based obstacle detection and tracking for
unmanned aerial vehicle navigation. A real-time object localization and tracking strategy …

In this paper, we identify and address a serious design bias of existing salient object
detection (SOD) datasets, which unrealistically assume that each image should contain at …

Obstacle detection and tracking is an important research topic in computer vision with a
number of practical applications. Though an ample amount of research has been done in …