Body Part Extraction and Pose Estimation Method in Rowing Videos
نویسندگان
چکیده
منابع مشابه
Hierarchical Part-Based Human Body Pose Estimation
This paper addresses the problem of automatic detection and recovery of three-dimensional human body pose from monocular video sequences for HCI applications. We propose a new hierarchical part-based pose estimation method for the upper-body that efficiently searches the high dimensional articulation space. The body is treated as a collection of parts linked in a kinematic structure. Search for...
متن کاملStatistical models for human body pose estimation from videos
To investigate the task of multidimensional continuous inference from video sequences on a concrete example application, we focus on the problem of articulated 3D human tracking from monocular video. This is an interesting topic because of its relevance for biological vision systems, as well as its many applications in various domains. Estimating body pose and motion of humans is a challenging ...
متن کاملDetect-and-Track: Efficient Pose Estimation in Videos
This paper addresses the problem of estimating and tracking human body keypoints in complex, multi-person video. We propose an extremely lightweight yet highly effective approach that builds upon the latest advancements in human detection [15] and video understanding [5]. Our method operates in two-stages: keypoint estimation in frames or short clips, followed by lightweight tracking to generat...
متن کاملKeyframe selection for robust pose estimation in laparoscopic videos
Motion estimation based on point correspondences in two views is a classic problem in computer vision. In the field of laparoscopic video sequences even with state of the art algorithms a stable motion estimation can not be guaranteed generally. Typically, a video from a laparoscopic surgery contains sequences where the surgeon barely moves the endoscope. Such restricted movement causes a small...
متن کاملA Framework for Human Pose Estimation in Videos
In this paper, we present a method to estimate a sequence of human poses in unconstrained videos. We aim to demonstrate that by using temporal information, the human pose estimation results can be improved over image based pose estimation methods. In contrast to the commonly employed graph optimization formulation, which is NP-hard and needs approximate solutions, we formulate this problem into...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Computing and Information Technology
سال: 2018
ISSN: 1330-1136,1846-3908
DOI: 10.20532/cit.2018.1003802