Lcdnet: a lightweight crowd density estimation model for real-time video surveillance

HIGHLIGHTS

• who: Muhammad Asif Khan from the Qatar Mobility Innovations Center (QMIC), Qatar University, Doha, Qatar have published the paper: LCDnet: a lightweight crowd density estimation model for real-time video surveillance, in the Journal: (JOURNAL)
• what: The authors propose (i) a Lightweight Crowd Density estimation model (LCDnet) for real-time video surveillance and_(ii) an improved training method using curriculum learning (CL). The authors propose a crowd density estimation model (LCDnet). followed by a layer of 64 filters of 3 u00d7 3 size. In the experiments , the authors empirically determined the value of ud835udf0e based . . .
  

   

  

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