人体姿态跟踪--Pose Flow: Efficient Online Pose Tracking 。在对视频每一帧人体姿态估计完成之后,通过分析前后若干帧之间的人体姿态关系来完成人体姿态跟踪问题。 主要通过两个步骤来实现的:1)poseflow姿态流的生成,2)姿态流中进行了非极大值抑制 整个网络流传图3Our Proposed Approach 这里定义了一些姿态度量: Intra...
论文阅读:《Flowing ConvNets for Human Pose Estimation in Videos》ICCV 2015,程序员大本营,技术文章内容聚合第一站。
Chen, C., 2015. A survey of human pose estimation: the body parts parsing based methods] 和 [Gong, W., Zhang, X., Gonz`alez, J., Sobral, A., Bouwmans, T., Tu, C., Zahzah,E.h., 2016. Human pose estimation from monocular images: A comprehensive survey]。
3D human pose estimation in multi-view operating room (OR) videos is a relevant asset for person tracking and action recognition. However, the surgical environment makes it challenging to find poses due to sterile clothing, frequent occlusions and limited public data. Methods specifically designed ...
【Combining detection and tracking for human pose estimation in videos】是对 video 进行固定长度的 clip 划分,然后通过不同 clip 重复帧的 pose 的相似度 (OKS) 来判定是否 merge 到一起,从而完成 track。此外还在 merge poses 时用了一些 trick 来解决人与人的遮挡问题。
This is the implementation of the approach described in the paper: Dario Pavllo, Christoph Feichtenhofer, David Grangier, and Michael Auli.3D human pose estimation in video with temporal convolutions and semi-supervised training. In Conference on Computer Vision and Pattern Recognition (CVPR), 2019...
We keep our code consistent withVideoPose3D. Please refer to their project page for further information. If you found this code useful, please cite the following paper: @article{chen2020anatomy, title={Anatomy-aware 3D Human Pose Estimation in Videos}, author={Chen, Tianlang and Fang, Chen ...
Teams: Amazon Writers: Manchen Wang, Joseph Tighe, Davide Modolo PDF:Combining detection and tracking for human pose estimation in videos Abstract We propose a novel top-down approach that tackles the problem of multi-person human pose estimation and tracking in videos. In contrast to existing ...
The objective of this work is human pose estimation in videos, where multiple frames are available. We investigate a ConvNet architecture that is able to benefit from temporal context by combining information across the multiple frames using optical flow. To this end we propose a network architectu...
作者改进依据Detet-and-track: Efficient pose estimation in videos,有两个不同:1使用两种不同的Human boxes,一种是人体目标检测,一种是由上一帧使用光流optical flow生成的box。2使用了不同的贪婪匹配算法的相似度衡量方法。作者使用基于流的姿态相似性测量。