In the recent years, multicue visual tracking frameworks have been preferred over single cue
visual tracking approaches to address critical environmental challenges. In literature, it has …

The detection of tunnel surface defects is the very important part to ensure tunnel safety.
Traditional tunnel detection mainly relies on naked-eye inspection, which is time-consuming …

Blindness prevents a person from gaining knowledge of the surrounding environment and
makes unassisted navigation, object recognition, obstacle avoidance, and reading tasks a …

We are living in a three-dimensional space while moving forward through a fourth
dimension: time. To allow artificial intelligence to develop a comprehensive understanding …

RGBD object tracking is gaining momentum in computer vision research thanks to the
development of depth sensors. Although numerous RGBD trackers have been proposed …

The damages triggered by the long-term corrosion, external disturbance, and uneven
support pressure result in defective states of sewer pipes. Nowadays, the sewer pipe images …

Depth cameras have recently become popular and many vision problems can be better
solved with depth information. But, how to integrate depth information into a visual tracker to …

With surveillance systems using capturing and observing techniques, it is now much easier
to identify things and individuals for security. However, variability in patterns due to device …

RGB-D salient object detection is one of the basic tasks in computer vision. Most existing
models focus on investigating efficient ways of fusing the complementary information from …

This paper focuses on indoor semantic segmentation based on RGB-D images. Semantic
segmentation is a pixel-level classification task that has made steady progress based on …