We propose a novel real-time multiple pedestrian tracker for videos acquired from both static
and moving cameras in unconstrained real-world environment. In such scenes, trackers …

Target tracking has always been a popular research area in computer vision, and many
important methods have been proposed. However, most methods can only solve partial and …

Person-tracking robots have many applications, such as in security, elderly care, and
socializing robots. Such a task is particularly challenging when the person is moving in a …

Pedestrian tracking is an important task in the field of computer vision and is the basis for
other advanced vision tasks such as human pose estimation, motion recognition and …

Multiple pedestrian tracking in the first-person perspective is a challenging problem,
obstacles of which are mainly caused by camera moving, frequent occlusions, and collision …

At present, the detection-based pedestrian multi-target tracking algorithm is widely used in
artificial intelligence, unmanned driving cars, virtual reality and other fields, and has …

Multi-object tracking is a vital component in various robotics and computer vision
applications. However, existing multi-object tracking techniques trade off computation …

Object tracking is a fundamental domain in computer vision, especially multiple human
tracking, which is an important task to solve many key problems, including traffic counting …

Multi-pedestrian tracking in aerial imagery has several applications such as large-scale
event monitoring, disaster management, search-and-rescue missions, and as input into …

In the field of robot and autopilot, aiming at the difficulty that the traditional single target
pedestrian tracking algorithm needs manual frame selection, this paper puts forward a …