US 12,406,391 B2
Contextual instance decoupling-based multi-person pose estimation method and apparatus
Shiliang Zhang, Beijing (CN); and Dongkai Wang, Beijing (CN)
Assigned to PEKING UNIVERSITY, Beijing (CN)
Filed by Peking University, Beijing (CN)
Filed on Dec. 27, 2022, as Appl. No. 18/088,981.
Claims priority of application No. 202210339901.8 (CN), filed on Apr. 1, 2022.
Prior Publication US 2023/0360256 A1, Nov. 9, 2023
Int. Cl. G06T 7/73 (2017.01)
CPC G06T 7/73 (2017.01) [G06T 2207/20076 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/30196 (2013.01)] 13 Claims
OG exemplary drawing
 
1. A contextual instance decoupling (CID)-based multi-person pose estimation (MPPE) method, comprising:
acquiring a preset number of images containing multiple persons;
inputting the images containing multiple persons, as a training sample, into a CID-based MPPE model for training; and
performing pose estimation on a target image using the trained CID-based MPPE model,
the CID-based MPPE model being provided with an instance information abstraction module, a global feature decoupling module and a heatmap estimation module.