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US 11,893,798 B2Granted
Method, system and computer readable medium of deriving crowd information
AssigneeNEC Corporation
InventorsArun Kumar Chandran, Wen Zhang, Yusuke Takahashi
Life of this patent
Estimating the term…
Abstract
Methods and systems for crowd level estimation are provided. The system for crowd level estimation includes an input module and a crowd level estimation module. The input module receives an input image of a crowd and the crowd level estimation module estimates a crowd level of the crowd in the input image in response to a crowd density level.
Claims15
A method of deriving crowd information, the method comprising:
- receiving a picture;
- receiving information of a crowd density level regarding a first area of the picture;
- receiving information of a crowd density level regarding a second area of the picture, the second area being different from the first area;
- calculating first information of a crowd level regarding people in the first area based on the information of the crowd density level regarding the first area;
- and
- calculating second information of a crowd level regarding people in the second area based on the information of the crowd density level regarding the second area,
- wherein the calculating the first information and the second information comprises:
- determining a similarity of the picture of the crowd and each of a plurality of models of crowd level spatial variations;
- and
- estimating a crowd level of the crowd in the picture in response to a most similar one of the plurality of models of crowd level spatial variations,
- wherein the most similar one of the plurality of models of crowd level spatial variations is determined in response to a probability density function of the similarity of the picture of the crowd and each of the plurality of models of crowd level spatial variations.
8 more elements
A non-transitory computer readable medium storing a program for causing a computer to execute the following steps of:
- receiving a picture;
- receiving information of a crowd density level regarding a first area of the picture;
- receiving information of a crowd density level regarding a second area of the picture, the second area being different from the first area;
- calculating first information of a crowd level regarding people in the first area based on the information of the crowd density level regarding the first area;
- and
- calculating second information of a crowd level regarding people in the second area based on the information of the crowd density level regarding the second area,
- wherein the calculating the first information and the second information comprises:
- determining a similarity of the picture of the crowd and each of a plurality of models of crowd level spatial variations;
- and
- estimating a crowd level of the crowd in the picture in response to a most similar one of the plurality of models of crowd level spatial variations,
- wherein the most similar one of the plurality of models of crowd level spatial variations is determined in response to a probability density function of the similarity of the picture of the crowd and each of the plurality of models of crowd level spatial variations.
8 more elements
A server comprising;
- at least one storage device configured to store instructions;
- and
- at least one processor configured to execute the instructions to:
- receive a picture;
- receive information of a crowd density level regarding a first area of the picture;
- receive information of a crowd density level regarding a second area of the picture, the second area being different from the first area;
- calculate first information of a crowd level regarding people in the first area based on the information of the crowd density level regarding the first area;
- and
- calculate second information of a crowd level regarding people in the second area based on the information of the crowd density level regarding the second area,
- wherein the calculating the first information and the second information comprises:
- determining a similarity of the picture of the crowd and each of a plurality of models of crowd level spatial variations;
- and
- estimating a crowd level of the crowd in the picture in response to a most similar one of the plurality of models of crowd level spatial variations,
- wherein the most similar one of the plurality of models of crowd level spatial variations is determined in response to a probability density function of the similarity of the picture of the crowd and each of the plurality of models of crowd level spatial variations.
11 more elements
Dependencies are inferred from the claim text.