Person identification is a problem that has received substantial attention, particularly in
security domains. Gait recognition is one of the most convenient approaches enabling …

Recently, the leading performance of human pose estimation is dominated by top-down
methods. Being a fundamental component in training and inference, data processing has …

Human pose estimation is a fundamental yet challenging computer vision task and studied
by many researchers around the world in recent years. As a basic task in computer vision …

Current research evaluates person search, multi-object tracking and multi-person pose
estimation as separate tasks and on different datasets although these tasks are very akin to …

Multi-person pose tracking is an important element for many applications and requires to
estimate the human poses of all persons in a video and to track them over time. The …

Video annotation is expensive and time consuming. Consequently, datasets for multi-person
pose estimation and tracking are less diverse and have more sparse annotations compared …

Both accuracy and efficiency are significant for pose estimation and tracking in videos. State-
of-the-art performance is dominated by two-stages top-down methods. Despite the leading …

Human pose estimation in unconstrained images and videos is a fundamental computer
vision task. To illustrate the evolutionary path in technique, in this survey we summarize …

Data from a single modality may suffer from noise, low contrast, or other imaging limitations
that affect the model's accuracy. Furthermore, due to the limited amount of data, most models …

Currently, there is an increased need for training images in 3D hand pose estimation and a
higher reliance on computationally intensive 3D mesh annotations for 3D coordinate …