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OpenPose: Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields
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OpenPose is released, the first open-source realtime system for multi-person 2D pose detection, including body, foot, hand, and facial keypoints, and the first combined body and foot keypoint detector, based on an internal annotated foot dataset.Abstract:
Realtime multi-person 2D pose estimation is a key component in enabling machines to have an understanding of people in images and videos. In this work, we present a realtime approach to detect the 2D pose of multiple people in an image. The proposed method uses a nonparametric representation, which we refer to as Part Affinity Fields (PAFs), to learn to associate body parts with individuals in the image. This bottom-up system achieves high accuracy and realtime performance, regardless of the number of people in the image. In previous work, PAFs and body part location estimation were refined simultaneously across training stages. We demonstrate that a PAF-only refinement rather than both PAF and body part location refinement results in a substantial increase in both runtime performance and accuracy. We also present the first combined body and foot keypoint detector, based on an internal annotated foot dataset that we have publicly released. We show that the combined detector not only reduces the inference time compared to running them sequentially, but also maintains the accuracy of each component individually. This work has culminated in the release of OpenPose, the first open-source realtime system for multi-person 2D pose detection, including body, foot, hand, and facial keypoints.read more
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Journal ArticleDOI
Implementation of Automated Baby Monitoring: CCBeBe
TL;DR: An automated baby monitoring service CCBeBe (CCtv Bebe) monitors infants’ lying posture and crying based on AI and provides parents-to-baby video streaming and voice transmission and main features are based on OpenPose, EfficientNet, WebRTC, and Facial-Expression-Recognition.
Proceedings ArticleDOI
Toward an Autonomous Aerial Survey and Planning System for Humanitarian Aid and Disaster Response
Ross Allen,Mark Mazumder +1 more
TL;DR: This paper proposes an autonomous aerial survey that is tasked with assessing damage to existing road networks, detecting and locating human victims, and providing a cursory assessment of casualty types that can be used to inform medical response priorities.
Journal ArticleDOI
Estimation of partially occluded 2D human joints with a Bayesian approach
TL;DR: A Bayesian Approach for occluded Keypoint Estimation, BAKE, is presented to complete the missing human pose elements and a hybrid technique which combines the predictions of the Openpose and the proposed method is developed.
Proceedings ArticleDOI
Child Action Recognition in RGB and RGB-D Data
TL;DR: An ongoing work that aims for real-time action recognition specifically tailored for child-centered research, collected and annotated a dataset of 200 primary school children and is expected to bridge the performance gap between activity recognition systems for adults and children.
Journal ArticleDOI
Person Re-Identification Microservice over Artificial Intelligence Internet of Things Edge Computing Gateway
Ching Han Chen,Chao Tsu Liu +1 more
TL;DR: Experimental results indicate that this architecture can provide sufficient Re-ID computing resources to allow the system to scale up or down flexibly to support different scenarios and demand loads.
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