Where are we with Human Pose Estimation in Real-World Surveillance?

Author:

Cormier Mickael1,Clepe Aris2,Specker Andreas1,Beyerer Jurgen2

Affiliation:

1. Karlsruhe Institute of Technology (KIT),Vision and Fusion Lab, Institute for Anthropomatics and Robotics,Karlsruhe,Germany

2. Fraunhofer IOSB,Karlsruhe,Germany

Publisher

IEEE

Reference57 articles.

1. Deep high-resolution representation learning for visual recognition;wang;IEEE Transactions on Pattern Analysis and Machine Intelligence,2020

2. Augmented hard example mining for generalizable person re-identification;tamura;arXiv preprint arXiv 1910 01500,2019

3. Performance measures and a data set for multi-target, multi-camera tracking;ristani;ECCV Workshops,2016

4. Saving Face

5. Peeking into Occluded Joints: A Novel Framework for Crowd Pose Estimation

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1. LidPose: Real-Time 3D Human Pose Estimation in Sparse Lidar Point Clouds with Non-Repetitive Circular Scanning Pattern;Sensors;2024-05-26

2. Efficient Posenet with Coarse to Fine Transformer;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

3. DSteganoM: Deep steganography for motion capture data;Expert Systems with Applications;2024-03

4. Active Transfer Learning for Efficient Video-Specific Human Pose Estimation;2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV);2024-01-03

5. A Geometry Loss Combination for 3D Human Pose Estimation;2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV);2024-01-03

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