MEEV Body Mesh Estimation On Egocentric Video Nicolas Monet1and Dongyoon Wee1
2025-05-02
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MEEV: Body Mesh Estimation On Egocentric
Video
Nicolas Monet1and Dongyoon Wee1
NAVER CLOVA Video
Abstract. This technical report introduces our solution, MEEV, pro-
posed to the EgoBody Challenge at ECCV 2022. Captured from head-
mounted devices, the dataset consists of human body shape and mo-
tion of interacting people. The EgoBody dataset has challenges such as
occluded body or blurry image. In order to overcome the challenges,
MEEV is designed to exploit multiscale features for rich spatial infor-
mation. Besides, to overcome the limited size of dataset, the model is
pre-trained with the dataset aggregated 2D and 3D pose estimation
datasets. Achieving 82.30 for MPJPE and 92.93 for MPVPE, MEEV
has won the EgoBody Challenge at ECCV 2022, which shows the ef-
fectiveness of the proposed method. The code is available at https:
//github.com/clovaai/meev
Keywords: body pose estimation, body mesh estimation, video, EgoB-
ody, egocentric
1 Introduction
The EgoBody Challenge[12] deals with the 3D human pose and shape estima-
tion task from monocular RGB image. Specifically, they propose a dataset with
images captured from egocentric views, which makes challenging problems such
as high occlusion and severe motion blur compared to the other datasets used
in pose or shape estimation task, e.g., 3DPW [7].
In order to tackle the challenging task, we proposed MEEV, which exploit
multi-scale features from image encoder and pre-training with large datasets,
e.g., AGORA [10]
In the first section, we describe our approach and then details the experiments
we made with our results.
2 Our Approach
Extending from the work of Moon et al. [9], MEEV additionally use the feature
from higher resolution to supplement spatial information.
The input image resolution I∈R3×256×192 is cropped from the image us-
ing the bounding box of the person. We use a ConvNext [5] large backbone for
the input image. As shown in Fig. 1, the image features F0∈R1536×8×6and
arXiv:2210.14165v1 [cs.CV] 21 Oct 2022
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MEEV:BodyMeshEstimationOnEgocentricVideoNicolasMonet1andDongyoonWee1NAVERCLOVAVideoAbstract.Thistechnicalreportintroducesoursolution,MEEV,pro-posedtotheEgoBodyChallengeatECCV2022.Capturedfromhead-mounteddevices,thedatasetconsistsofhumanbodyshapeandmo-tionofinteractingpeople.TheEgoBodydatasethaschall...
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价格：10玖币
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时间：2025-05-02
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