PoseTrack: A Benchmark for Human Pose Estimation and Tracking
Explore this paper's citation graph
- Type
- preprint
- Published
- 2017-10-27
- Cited by
- 534
- References
- 54
- Access
- Open access
- OpenAlex
- https://openalex.org/W2766141522
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:4768761
Keywords
Benchmark (surveying), Pose, Computer science, Artificial intelligence, Set (abstract data type)
References
- Flowing ConvNets for Human Pose Estimation in Videos
- Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
- Efficiently Scaling up Crowdsourced Video Annotation
- Near-Online Multi-target Tracking with Aggregated Local Flow Descriptor
- Human Pose Estimation with Iterative Error Feedback
- Very Deep Convolutional Networks for Large-Scale Image Recognition
- Efficient object localization using Convolutional Networks
- Towards Understanding Action Recognition
- An online learned CRF model for multi-target tracking
- 2D Human Pose Estimation: New Benchmark and State of the Art Analysis
- Parsing human motion with stretchable models
- HumanEva: Synchronized Video and Motion Capture Dataset and Baseline Algorithm for Evaluation of Articulated Human Motion
- Human3.6M: Large Scale Datasets and Predictive Methods for 3D Human Sensing in Natural Environments
- Learning effective human pose estimation from inaccurate annotation
- A simple recursive numerical method for Bermudan option pricing under Lévy processes
- DeepPose: Human Pose Estimation via Deep Neural Networks
- Clustered Pose and Nonlinear Appearance Models for Human Pose Estimation
- Joint Training of a Convolutional Network and a Graphical Model for Human Pose Estimation
- From Actemes to Action: A Strongly-Supervised Representation for Detailed Action Understanding
- Human Pose Estimation Using Body Parts Dependent Joint Regressors
Cited by
- Multiple object tracking: A literature review
- Survey on Emotional Body Gesture Recognition
- Pose Flow: Efficient Online Pose Tracking
- Learning to Detect and Track Visible and Occluded Body Joints in a Virtual World
- Simple Baselines for Human Pose Estimation and Tracking
- Learning to Refine Human Pose Estimation
- JointFlow: Temporal Flow Fields for Multi Person Pose Estimation
- DP-GP-LVM: A Bayesian Non-Parametric Model for Learning Multivariate Dependency Structures
- Seeding Deep Learning using Wireless Localization
- Addressing Training Bias via Automated Image Annotation
- Centrality Graph Convolutional Networks for Skeleton-based Action Recognition
- Efficient Online Multi-Person 2D Pose Tracking With Recurrent Spatio-Temporal Affinity Fields
- PoseFix: Model-Agnostic General Human Pose Refinement Network
- CamLoc: Pedestrian Location Detection from Pose Estimation on Resource-constrained Smart-cameras
- Training Algorithms for Multiple Object Tracking
- MOTS: Multi-Object Tracking and Segmentation
- Human Pose Estimation in Real Traffic Scenes
- Deep High-Resolution Representation Learning for Human Pose Estimation
- Adapting RGB Pose Estimation to New Domains
- Efficient deep learning methods for human pose estimation
Related papers
- Pose-Guided Tracking-by-Detection: Robust Multi-Person Pose Tracking
- The Progress of Human Pose Estimation: A Survey and Taxonomy of Models Applied in 2D Human Pose Estimation
- Temporally guided articulated hand pose tracking in surgical videos
- 2D Human Pose Estimation: New Benchmark and State of the Art Analysis
- Virtual Self Defense Trainer - Analyzing and Scoring User Pose
- A novel 2D/3D database with automatic face annotation for head tracking and pose estimation
- Vision Meets Drones: A Challenge
- Kinect-supported dataset creation for human pose estimation