A video camera in a public place can tell the density of people or vehicles more accurately

Deep learning applied for image/video processing opened the door for the practical deployment for object detection and identification with acceptable accuracy. Crowd counting is another application of image/video processing. The scientists at Japan Advanced Institute of Science and Technology (JAIST) designed a new DNN with backward connection, which achieved more accurate estimation of the density of objects. It can be applied for estimating human density in the public or vehicle density on a road in order to improve public safety/security and traffic efficiency.

from News on Artificial Intelligence and Machine Learning https://ift.tt/39z0lTN
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