Learning gait representations with noisy multi-task learning

HIGHLIGHTS

• who: Adrian Cosma and Emilian Radoi from the Faculty of Automatic Control and Computer Science, University Politehnica of Bucharest have published the research: Learning Gait Representations with Noisy Multi-Task Learning, in the Journal: Sensors 2022, 22, 6803. of 12/08/2022
• what: The study of gait analysis focused mostly on identification and demographics estimation without considering many of the pedestrian attributes that appearance-based methods rely on. In this work alongside gait-based person identification the authors explore pedestrian attribute identification solely from movement patterns. The authors propose DenseGait the largest dataset for pretraining . . .
  

   

  

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