[10] Moon, G., Chang, J. Y., & Lee, K. M. (2019). Camera distance-aware top-down approach for 3d multi-person pose estimation from a single rgb image. InProceedings of the IEEE/CVF International Conference on Computer Vision(pp. 10133-10142). [11] Fabbri, M., Lanzi, F., Calde...
Results on Occlusion-Person 2D Pose Estimation Results: 表5显示了遮挡节点的结果。NoFuse仅能准确检测30.9%的遮挡关节。由于遮挡节点的特征严重破坏,计算结果是合理的。三种多视图融合方法均显著提高了融合精度。特别是,AdaFuse能够正确检测90%以上的咬合关节。实验结果表明了该方法在学习融合权值方面的优势。 ![image...
Cao Z, Hidalgo G, Simon T, Wei SE, Sheikh Y (2021) OpenPose: realtime multi-person 2D pose estimation using part affinity fields. IEEE Trans Pattern Anal Mach Intell 43(1):172–186. https://doi.org/10.1109/TPAMI.2019.2929257 Article Google Scholar Chen HT, He YZ, Hsu CC, Chou CL...
This also enables the model to retain semantic consistency across the body and its parts by preventing a mixup between left and right hands or body parts of one person in the frame with another.In addition, the resolution of the input frame to the pose model is low enough that the...
Code to Reproduce the issue download the v0.14.4 release (precompiled) Additional Context I hope people weigh in on the discussion. The latest plugin has some really interesting features (multi person pose estimation) but unacceptable performance....
The EAR is mostly constant when an eye is open and gets close to zero, while closing an eye is partially person, and head pose insensitive. The aspect ratio of the open eye has a small variance among individuals. It is fully invariant to a uniform scaling of the image and in-plane rot...
Sample.3 - Head Pose Estimation, Multi-stage inference with multi-model RaspberryPi4 (CPU only) Ubuntu 19.10 64bit Tensorflow / Tensorflow Lite with multi-thread acceleration tuning for PythonAPI [Model.1] MobileNetV2-SSDLite dm=0.5 300x300, Integer Quantization [Model.2] Head Pose Estimation ...
Sample.3 - Head Pose Estimation, Multi-stage inference with multi-model RaspberryPi4 (CPU only) Ubuntu 19.10 64bit Tensorflow / Tensorflow Lite with multi-thread acceleration tuning for PythonAPI [Model.1] MobileNetV2-SSDLite dm=0.5 300x300, Integer Quantization [Model.2] Head Pose Estimation ...
This also enables the model to retain semantic consistency across the body and its parts by preventing a mixup between left and right hands or body parts of one person in the frame with another.In addition, the resolution of the input frame to the pose model is low enough ...
Sample.3 - Head Pose Estimation, Multi-stage inference with multi-model RaspberryPi4 (CPU only) Ubuntu 19.10 64bit Tensorflow / Tensorflow Lite with multi-thread acceleration tuning for PythonAPI [Model.1] MobileNetV2-SSDLite dm=0.5 300x300, Integer Quantization [Model.2] Head Pose Estimation ...