UAV is widely used in civil or military fields due to its advantages of flexibility, compact and
lightness, and it can replace human beings to explore unknown regions or perform various …

Generic person tracking is a basic task in visual surveillance by using camera as sensors.
Many deep learning-based trackers have obtained outstanding performance. Among them …

In this paper, we develop a new approach of spatially supervised recurrent convolutional
neural networks for thermal infrared (TIR) visual pedestrian tracking. Our method extends …

Multi-object Tracking is an important issue that has been widely investigated in computer
vision. However, in practical applications, moving targets are often occluded due to complex …

Multiple object tracking (MOT) generally employs the paradigm of tracking-by-detection,
where object detection and object tracking are executed conventionally using separate …

This paper proposes an improvement to the multi-object tracking system framework based
on the image inputs. By analyzing the role and performance of each block in the original …

Multi-object tracking (MOT) is one of the most challenging tasks in the field of computer
vision. Although many MOT methods have been proposed in the literature, most of them …

Multi-object tracking aims to estimate the complete trajectories of objects in a scene.
Distinguishing among objects efficiently and correctly in complex environments is a …

object tracking is one of the most sophisticated and least researched tasks in computer
vision, especially with respect to unmanned aerial vehicles. Primarily it caused by several …

Deep learning methods have led to remarkable progress in multiple object tracking (MOT).
However, when tracking in crowded scenes, existing methods still suffer from both …