Visual target tracking is one of the most sought-after yet challenging research topics in
computer vision. Given the ill-posed nature of the problem and its popularity in a broad …

In the last few decades, Structure from Motion (SfM) and visual Simultaneous Localization
and Map** (visual SLAM) techniques have gained significant interest from both the …

Simultaneous localization and map** (SLAM) is a fundamental technique block in the
indoor-navigation system for most autonomous vehicles and robots. SLAM aims at building …

Human activity recognition (HAR) aims to recognize activities from a series of observations
on the actions of subjects and the environmental conditions. The vision‐based HAR …

RGBT object tracking is an important research topic due to the complementary features of
visible and thermal infrared images. However, the established fast-tracking Siamese series …

Tracking algorithms with low computational complexity and reliable performance are
important in develo** advanced driver assistance systems (DAS). This paper proposes a …

Accurate localization and reliable map** is essential for autonomous navigation of robots.
As one of the core technologies for autonomous navigation, Simultaneous Localization and …

This paper attempts to uncover one possible method for the IMR (indoor mobile robot) to
perform indoor exploration associated with SLAM (simultaneous localization and map**) …

At present, the three-dimensional (3D) reconstruction system is based on hand-held camera
which causes certain problems, such as needing for a large number of human-computer …

Navigation solutions suitable for cases when both autonomous robot's pose (ie., attitude and
position) and its environment are unknown are in great demand. Simultaneous Localization …