Multi-Person Pose Estimation and Tracking
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Benchmarks
PoseTrack2018
Most implemented
AlphaPose: Whole-Body Regional Multi-Person Pose Estimation and Tracking in Real-Time
PoseTrack: Joint Multi-Person Pose Estimation and Tracking
Papers
Texture-Based Input Feature Selection for Action Recognition
The performance of video action recognition has been significantly boosted by using motion representations within a two-stream Convolutional Neural Network (CNN) architecture. However, there are a few challenging problem…
Action RecognitionAnomaly Detectionfeature selectionGraph Matching+7AlphaPose: Whole-Body Regional Multi-Person Pose Estimation and Tracking in Real-Time
Accurate whole-body multi-person pose estimation and tracking is an important yet challenging topic in computer vision. To capture the subtle actions of humans for complex behavior analysis, whole-body pose estimation in…
Knowledge DistillationMulti-Person Pose EstimationMulti-Person Pose Estimation and TrackingPose EstimationJRDB-Pose: A Large-scale Dataset for Multi-Person Pose Estimation and Tracking
Autonomous robotic systems operating in human environments must understand their surroundings to make accurate and safe decisions. In crowded human scenes with close-up human-robot interaction and robot navigation, a dee…
DiversityMulti-Person Pose EstimationMulti-Person Pose Estimation and TrackingPose Estimation+2Learning Dynamics via Graph Neural Networks for Human Pose Estimation and Tracking
Multi-person pose estimation and tracking serve as crucial steps for video understanding. Most state-of-the-art approaches rely on first estimating poses in each frame and only then implementing data association and refi…
Graph Neural NetworkMulti-Person Pose EstimationMulti-Person Pose Estimation and TrackingPose Estimation+1Temporal Keypoint Matching and Refinement Network for Pose Estimation and Tracking
Multi-person pose estimation and tracking in realistic videos is very challenging due to factors such as occlusions, fast motion and pose variations. Top-down approaches are commonly used for this task, which involves th…
Human DetectionMulti-Person Pose EstimationMulti-Person Pose Estimation and TrackingPose EstimationSelf-supervised Keypoint Correspondences for Multi-Person Pose Estimation and Tracking in Videos
Video annotation is expensive and time consuming. Consequently, datasets for multi-person pose estimation and tracking are less diverse and have more sparse annotations compared to large scale image datasets for human po…
Multi-Person Pose EstimationMulti-Person Pose Estimation and TrackingPose EstimationPose Tracking