Multiple traffic target tracking with spatial-temporal affinity network

HIGHLIGHTS

• who: Yamin Sun et al. from the School of Architecture and Civil Engineering, Xi`an University of Science and Technology, Xi`an, China have published the research: Multiple Traffic Target Tracking with Spatial-Temporal Affinity Network, in the Journal: Computational Intelligence and Neuroscience of 23/05/2022
• what: In this study a spatial-temporal encoder-decoder affinity network is proposed for multiple traffic targets tracking aiming to utilize the power of deep learning to learn a robust spatial-temporal affinity feature of the detections and tracklets for data association.
• how: In a metric . . .
  

   

  

  If you want to have access to all the content you need to log in!

  Thanks :)

  Username or Email

  Password

  Remember me

  Lost your password?

  If you don't have an account, you can create one here.