Hockey Action Recognition via Integrated Stacked Hourglass Network

No abstract is available for this paper.

• Publication year

  2017

• Venue

  2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

• Publication date

  2017-07-01

• Fields of study

  Computer Science

• Identifiers
  DOI 10.1109/CVPRW.2017.17
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Stacked Hourglass Networks for Human Pose Estimation

  2016influential reference
• Pose for Action - Action for Pose

  2016cited by this paper
• P-CNN: Pose-Based CNN Features for Action Recognition

  2015cited by this paper
• The S-HOCK dataset: Analyzing crowds at the stadium

  2015cited by this paper
• Joint action recognition and pose estimation from video

  2015cited by this paper
• Cross-View Action Modeling, Learning, and Recognition

  2014cited by this paper
• 2D Human Pose Estimation: New Benchmark and State of the Art Analysis

  2014cited by this paper
• Fine-Grained Activity Recognition with Holistic and Pose Based Features

  2014cited by this paper
• Mixing Body-Part Sequences for Human Pose Estimation

  2014cited by this paper
• Self-Learning for Player Localization in Sports Video

  2013cited by this paper
• Towards Understanding Action Recognition

  2013influential reference
• Detecting Actions, Poses, and Objects with Relational Phraselets

  2012cited by this paper
• Using Line and Ellipse Features for Rectification of Broadcast Hockey Video

  2011cited by this paper
• Recognizing human actions from still images with latent poses

  2010cited by this paper
• Video analysis of hockey play in selected game situations

  2009cited by this paper
• Tracking and recognizing actions of multiple hockey players using the boosted particle filter

  2009cited by this paper
• Robust Visual Tracking for Multiple Targets

  2006cited by this paper
• Simultaneous Tracking and Action Recognition using the PCA-HOG Descriptor

  2006cited by this paper
• Tracking and Recognizing Actions at a Distance

  2006cited by this paper
• A Boosted Particle Filter: Multitarget Detection and Tracking

  2004cited by this paper

• Cricket Shot Analysis using Conditional Directed Spatio-Temporal Graph networks

  2025cites this paper
• The Application of Deep Learning Human Pose Estimation in Sport: A Systematic Review

  2025cites this paper
• Curvelet-enhanced transformer architecture for blurred action fine-grained detection

  2025cites this paper
• Striking a Pose: DIY Computer Vision Sensor Kit to Measure Public Life Using Pose Estimation Enhanced Action Recognition Model

  2025cites this paper
• Energy-Motion Features Aggregation Network for Players’ Fine-Grained Action Analysis in Soccer Videos

  2024cites this paper
• Distribution and Depth-Aware Transformers for 3D Human Mesh Recovery

  2024cites this paper
• Sumo Action Classification Using Mawashi Keypoints

  2024cites this paper
• Self-Supervised Video Interaction Classification using Image Representation of Skeleton Data

  2023cites this paper
• Adaptive spatial and temporal aggregation for table tennis shot recognition

  2023cites this paper
• Pose estimation and motion analysis of ski jumpers based on ECA-HRNet

  2023cites this paper
• Building roof wireframe extraction from aerial images using a three-stream deep neural network

  2023cites this paper
• Rapid automated 3-D pose estimation of larval zebrafish using a physical model-trained neural network

  2023cites this paper
• A Comprehensive Review of Computer Vision in Sports: Open Issues, Future Trends and Research Directions

  2022cites this paper
• A Survey on Video Action Recognition in Sports: Datasets, Methods and Applications

  2022cites this paper
• Interaction Classification with Key Actor Detection in Multi-Person Sports Videos

  2022cites this paper
• An overview of Human Action Recognition in sports based on Computer Vision

  2022cites this paper
• A Systematic Review of the Application of Camera-Based Human Pose Estimation in the Field of Sport and Physical Exercise

  2021cites this paper
• SportsCap: Monocular 3D Human Motion Capture and Fine-Grained Understanding in Challenging Sports Videos

  2021cites this paper
• Puck localization and multi-task event recognition in broadcast hockey videos

  2021cites this paper
• BeFit—A Real-Time Workout Analyzer

  2021cites this paper
• Event detection in coarsely annotated sports videos via parallel multi receptive field 1D convolutions

  2020cites this paper
• Investigating the Application of Human Motion Recognition for Athletics Talent Identification using the Head-Mounted Camera

  2020cites this paper
• Human Movement Analysis from the Egocentric Camera View

  2020cites this paper
• Group Activity Detection from Trajectory and Video Data in Soccer

  2020cites this paper
• Action recognition in poor-quality spectator crowd videos using head distribution-based person segmentation

  2019cites this paper
• Identifying Visible Actions in Lifestyle Vlogs

  2019cites this paper
• Small object segmentation with fully convolutional network based on overlapping domain decomposition

  2019cites this paper
• Attentive Spatio-Temporal Representation Learning for Diving Classification

  2019cites this paper
• STAR-Net: Action Recognition using Spatio-Temporal Activation Reprojection

  2019cites this paper
• PuckNet: Estimating hockey puck location from broadcast video

  2019cites this paper
• Two-Stream Action Recognition in Ice Hockey using Player Pose Sequences and Optical Flows

  2019cites this paper
• Temporal Hockey Action Recognition via Pose and Optical Flows

  2018influential citation
• Single Image, Context Aware Action Estimation in Sports

  2018cites this paper
• Hockey Pose Estimation and Action Recognition using Convolutional Neural Networks to Ice Hockey

  2018cites this paper
• HyperStackNet: A Hyper Stacked Hourglass Deep Convolutional Neural Network Architecture for Joint Player and Stick Pose Estimation in Hockey

  2018cites this paper
• Temporal segmentation and recognition of team activities in sports

  2018cites this paper