Track people in images better by building 3D model from image and predicting appearance

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Track people in images better by building 3D model from image and predicting appearance

Tracking People by Predicting 3D Appearance, Location & Pose
arXiv paper abstract https://arxiv.org/abs/2112.04477
arXiv PDF paper https://arxiv.org/pdf/2112.04477.pdf
Twitter post https://twitter.com/ak92501/status/1468794440806510592
Project page http://people.eecs.berkeley.edu/~jathushan/PHALP

… approach for tracking people in monocular videos, by predicting their future 3D representations. … first lift people to 3D from a single

… includes information about the 3D pose of the person, his or her location in the 3D space, and the 3D appearance.

As … track … collect 3D observations over time in a tracklet representation. … build temporal models

… predict the future state of the tracklet, including 3D location, 3D appearance, and 3D pose.

… compute the similarity between the predicted state of a tracklet and the single frame observations in a probabilistic manner.

… report state-of-the-art results.

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Photo by Omar Tursić on Unsplash

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AI News Clips by Morris Lee: News to help your R&D
AI News Clips by Morris Lee: News to help your R&D

Written by AI News Clips by Morris Lee: News to help your R&D

A computer vision consultant in artificial intelligence and related hitech technologies 37+ years. Am innovator with 66+ patents and ready to help a firm's R&D.

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