mlsanityData to 7 Oct 2026

EventCap: Monocular 3D Capture of High-Speed Human Motions using an Event Camera

arXiv 1908.11505 ↗First posted 30 Aug 2019cs.CV cs.GRcited by 65

Not on the map. Why?

Abstract (arXiv)

The high frame rate is a critical requirement for capturing fast human motions. In this setting, existing markerless image-based methods are constrained by the lighting requirement, the high data bandwidth and the consequent high computation overhead. In this paper, we propose EventCap --- the first approach for 3D capturing of high-speed human motions using a single event camera. Our method combines model-based optimization and CNN-based human pose detection to capture high-frequency motion details and to reduce the drifting in the tracking. As a result, we can capture fast motions at millisecond resolution with significantly higher data efficiency than using high frame rate videos. Experiments on our new event-based fast human motion dataset demonstrate the effectiveness and accuracy of our method, as well as its robustness to challenging lighting conditions.

Key facts. Cited by 65 papers in the map (data through 7 Oct 2026). First posted on arXiv 30 Aug 2019.

Builds on

No reference list yet.

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 13; 2022: 11; 2023: 10; 2024: 17; 2025: 8; 2026: 6.

65 papers.

Sort:

By area:

  1. 2023InterGen: Diffusion-based Multi-human Motion Generation under Complex Interactionscited by 205
  2. 2021HumanNeRF: Efficiently Generated Human Radiance Field from Sparse Inputscited by 112
  3. 2022EventNeRF: Neural Radiance Fields from a Single Colour Event Cameracited by 92
  4. 2023Deep Learning for Event-based Vision: A Comprehensive Survey and Benchmarkscited by 90
  5. 2021Neural Monocular 3D Human Motion Capture with Physical Awarenesscited by 70
  6. 2024Recent Event Camera Innovations: A Surveycited by 67
  7. 2021EvDistill: Asynchronous Events to End-task Learning via Bidirectional Reconstruction-guided Cross-modal Knowledge Distillationcited by 46
  8. 2022LiDAR-aid Inertial Poser: Large-scale Human Motion Capture by Sparse Inertial and LiDAR Sensorscited by 43
  9. 2021EventHPE: Event-based 3D Human Pose and Shape Estimationcited by 42
  10. 2021NeuralHumanFVV: Real-Time Neural Volumetric Human Performance Rendering using RGB Camerascited by 40
  11. 2022LiDARCap: Long-range Marker-less 3D Human Motion Capture with LiDAR Point Cloudscited by 32
  12. 2021Dual Transfer Learning for Event-based End-task Prediction via Pluggable Event to Image Translationcited by 31
38 more
  1. 2021Gravity-Aware Monocular 3D Human-Object Reconstructioncited by 30
  2. 2022State of the Art in Dense Monocular Non-Rigid 3D Reconstructioncited by 30
  3. 2024EventEgo3D: 3D Human Motion Capture from Egocentric Event Streamscited by 29
  4. 2024Line-based 6-DoF Object Pose Estimation and Tracking With an Event Cameracited by 29
  5. 2023CIMI4D: A Large Multimodal Climbing Motion Dataset under Human-scene Interactionscited by 27
  6. 2021ChallenCap: Monocular 3D Capture of Challenging Human Performances using Multi-Modal Referencescited by 26
  7. 2021RobustFusion: Robust Volumetric Performance Reconstruction under Human-object Interactions from Monocular RGBD Streamcited by 26
  8. 2022Efficient Human Pose Estimation via 3D Event Point Cloudcited by 25
  9. 2021Differentiable Event Stream Simulator for Non-Rigid 3D Trackingcited by 23
  10. 2024LiveHPS: LiDAR-based Scene-level Human Pose and Shape Estimation in Free Environmentcited by 20
  11. 2022HybridCap: Inertia-aid Monocular Capture of Challenging Human Motionscited by 19
  12. 2022MoCapDeform: Monocular 3D Human Motion Capture in Deformable Scenescited by 18
  13. 2023EvHandPose: Event-based 3D Hand Pose Estimation with Sparse Supervisioncited by 17
  14. 20233D Pose Estimation of Two Interacting Hands from a Monocular Event Cameracited by 17
  15. 2024Microsaccade-inspired Event Camera for Roboticscited by 17
  16. 2021Lifting Monocular Events to 3D Human Posescited by 16
  17. 2024RELI11D: A Comprehensive Multimodal Human Motion Dataset and Methodcited by 16
  18. 2022MonoNHR: Monocular Neural Human Renderercited by 15
  19. 2024Deblurring Neural Radiance Fields with Event-driven Bundle Adjustmentcited by 15
  20. 2024Complementing Event Streams and RGB Frames for Hand Mesh Reconstructioncited by 14
  21. 2024Motion-aware Latent Diffusion Models for Video Frame Interpolationcited by 14
  22. 2023A Hybrid ANN-SNN Architecture for Low-Power and Low-Latency Visual Perceptioncited by 13
  23. 2022HiFECap: Monocular High-Fidelity and Expressive Capture of Human Performancescited by 12
  24. 2023Highly Efficient 3D Human Pose Tracking from Events with Spiking Spatiotemporal Transformercited by 10
  25. 2024E3NeRF: Efficient Event-Enhanced Neural Radiance Fields from Blurry Imagescited by 8
  26. 2024SpikeNeRF: Learning Neural Radiance Fields from Continuous Spike Streamcited by 7
  27. 2024LiveHPS++: Robust and Coherent Motion Capture in Dynamic Free Environmentcited by 6
  28. 2025EventEgo3D++: 3D Human Motion Capture from a Head-Mounted Event Cameracited by 6
  29. 2022A Temporal Densely Connected Recurrent Network for Event-based Human Pose Estimationcited by 5
  30. 2023Exploring Event-based Human Pose Estimation with 3D Event Representationscited by 4
  31. 2024Bilateral Event Mining and Complementary for Event Stream Super-Resolutioncited by 3
  32. 2024EVIT: Event-based Visual-Inertial Tracking in Semi-Dense Maps Using Windowed Nonlinear Optimizationcited by 3
  33. 2024Dynamic EventNeRF: Reconstructing General Dynamic Scenes from Multi-view RGB and Event Streamscited by 3
  34. 2025From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Camerascited by 3
  35. 2021Render In-between: Motion Guided Video Synthesis for Action Interpolationcited by 2
  36. 2022Imposing Temporal Consistency on Deep Monocular Body Shape and Pose Estimationcited by 2
  37. 20243D Human Scan With A Moving Event Cameracited by 2
  38. 2025Event-based Solutions for Human-centered Applications: A Comprehensive Reviewcited by 2

50 most cited of 65 All 65 (JSON)