Although these models have made significant progress in human pose estimation, they still face shortcomings in practical applications. The high computational complexity of AlphaPose and OpenPose limits their real-time use; HRNet, despite its accuracy, requires substantial computational resources, making it...
Human pose estimation (HPE) has developed over the past decade into a vibrant field for research with a variety of real-world applications like 3D reconstruction, virtual testing and re-identification of the person. Information about human poses is also a critical component in many downstream tasks...
Real-time 3D human pose estimation from monocular view with applications to event detection and video gaming 作者:Ke Shian Ru*; Zhu LiangJia; Hwang Jenq Neng; Pai Hung I; Lan Kung Ming; Liao Chih Pin 来源:2010 7th IEEE International Conference on Advanced Video and Signal Based, AVSS 2010...
3D Human Pose Estimation using 2D-Data and an Alternative Phase Space Representation In many 3D human pose estimation applications it is desirable to be able to estimate the pose using monocular vision. The ambiguities related to this are u... TB Moeslund,E Granum 被引量: 91发表: 2000年 3D...
3D Human Pose Estimation (3D-HPE) is a highly active and evolving research area in computer vision with numerous applications such as extended reality, action recognition, and video surveillance. The field has significantly advanced with deep learning, public datasets, and enhanced computational power...
This work addresses the challenging problem of unconstrained 3D human pose estimation (HPE) from a novel perspective. Existing approaches struggle to operate in realistic applications, mainly due to their scene-dependent priors, such as ... T Yu,T Kim,R Cipolla - 《Proc Cvpr IEEE》 被引量: ...
In Fig. 1 some of the aforementioned applications are depicted, which along with recent technological advances, and the release of new datasets have resulted in an increasing attention of the scientific community on the field. However, human pose estimation still remains an open problem with several...
2. Related Work Human pose estimation is a well studied area with many interesting applications, such as, gaming, human-computer interaction or health care. For a detailed review of various applications and methods, we refer the reader to [21]. In this section, we review only the most ...
Human Pose Estimation is an important research area in the field of Computer Vision. It deals with estimating unique points on the human body, also called keypoints. In this blog post, we will discuss one such algorithm for finding keypoints on images containing a human called Keypoint-RCNN...
This paper considers the task of articulated human pose estimation of multiple people in real-world images. We propose an approach that jointly solves the tasks of detection and pose estimation: it infers the number of persons in a scene, identifies occluded body parts, and disambiguates body p...