Skeleton detection deep learning The use of videos with identifiable faces raises privacy concerns, especially when used in a hospital or community-based setting. This is the official implementation of our CVPR 2024 paper "BlockGCN: Redefine Topology Awareness for Skeleton-Based Action Recognition" Jul 28, 2025 · Recent advances in deep learning and video-based skeleton extraction have opened new possibilities for accessible, scalable motion assessment using affordable devices such as smartphones or webcams. Meanwhile, a vision-based fall detection system has shown some significant results to detect falls. This paper proposes a novel framework In this paper, we present a survey of privacy-protecting deep learning anomaly detection methods using skeletons extracted from videos. Nov 24, 2020 · However, applying deep learning frameworks to 3D human skeleton extraction from point clouds remains challenging because of the sparsity of point clouds and the high nonlinearity of human skeleton regression. Nov 1, 2023 · Skeleton Ground Truth (GT) is critical to the success of supervised skeleton extraction methods, especially with the popularity of deep learning techniques. Dec 15, 2024 · Top-down methods are characterized by higher accuracy but suffer from a restricted capability for single-person skeleton detection at a time. Deep learning algorithms are always applied in X-rays and CT image processing, such as assessing the mineral bone density (BMD), detecting bone fractures, and recommending treatment Abstract A recent study to determine the fall is focused on analyzing fall motions using a recurrent neural network (RNN), and uses a deep learning approach to get good results for detecting human poses in 2D from a mono color image. Utilize the appearance information in videos (Islam et al. The model is implemented in training. DeepSkeleton: Learning Multi-task Scale-associated Deep Side Outputs for Object Skeleton Extraction in Natural Images, IEEE Trans on Image Processing Hi-Fi: Hierarchical Feature Integration for Skeleton Detection, IJCAI2018 Oct 18, 2023 · Regarding the manuscript entitled " Skeletal Fracture Detection with Deep Learning: A Comprehensive Review in which The authors present a comprehensive review of 40 recent papers from prestigious databases, including WOS, Scopus, and EI, to analyze and evaluate the use of deep learning models in diagnosing skeletal fractures from X-ray images. In this paper, we examine the most recent advances in skeleton-based fall detection in RGB videos, from handcrafted feature-based methods to advanced deep learning algorithms. For decades, people have been developing skeleton detection techniques. , image points in spatial context, and hence the implied object boundaries), resulting in precise skeleton detection. Appearance-based features can also be sensitive to pixel-based noise, straining the anomaly detection methods to model the changes in Nov 5, 2024 · Additionally, we propose a Swin Transformer-enhanced CMU-Pose to extract human skeleton features (HSF), identifying skeletal asymmetries crucial for SS. This work intro-duces a low-cost human skeleton detection network for detecting human skeleton shapes in real time. In terms of context, skeleton-based approach has the strong advantage of robustness in understanding ac-tual human actions. But in Human pose estimation technology, we can detect humans and analyze the posture of that particular human. Aug 9, 2021 · The human skeleton or deep learning framework is useful for accurately recognizing human behavior and analyzing that behavior across different situations. Dec 20, 2023 · In this paper, we present a survey of privacy-protecting deep learning anomaly detection methods using skeletons extracted from videos. Apr 28, 2023 · Thanks to the deep learning technologies in recent years, detection accuracy in key points of human skeleton has been continuously improved, especially in research and design of static images in the early stage. g. To begin with, the spatiotemporal features of human bones are extracted through iterative In this review, we only focus on the recent deep learning-based algorithms for skeletal video anomaly detection and did not include traditional machine learning based approaches. Performance comparison of skeleton pixel detection and skeleton point datasets from leaderboard. 4, also offer valuable insights into the model's interpretability, which is valuable to ensure transparent and trustworthy decision-making in deep-learning based fall detection solutions [56]. (2015) have presented a skeleton-based activity recognition system using an end-to-end deep learning model consisting of hierarchical RNNs. To address this, we first introduce an image preprocessing (IPP) module, which Dec 31, 2022 · In this paper, we present a survey of privacy-protecting deep learning anomaly detection methods using skeletons extracted from videos. Mar 1, 2025 · In this study, we use YOLOv11, a state-of-the-art real-time object detection model, as the foundation for a multi-task learning framework for fracture detection and classification. uaaw ienx lpitnz kzmts hod dzhhd hfazutu qdnyl qpz gwgj hnnqw diwwfcf ktdab vnjiy jqw