Your English writing platform
Discover LudwigSuggestions(2)
Exact(1)
Pedestrians compete frequently at medium crowd density.
Similar(59)
While the method provides good performance with low to medium crowd densities, it could have problems in very crowded scenes.
The crowd density estimation error σ is the average estimation error.
The topics cover crowd density estimation, crowd counting, and crowd attribute recognition.
The first effect gives a logarithmic relationship between the crowd speed and crowd density.
From the viewpoint of crowd behavior, relations between crowd density and pedestrian speed and between crowd density and the crowd flow rate are established, and crowd movement along evacuation paths is analyzed.
"The crowd density was so unique and unexpected," she said.
The quantitative relation between time interval and crowd density is obtained.
How do the individual choices of pedestrians change the overall crowd density?
The contributions are twofold: first, convolutional neural network is first introduced for crowd density estimation.
Compared with traditional methods, we can make significant improvements to crowd density estimation.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com