Invention Grant
- Patent Title: Crowd detection, analysis, and categorization
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Application No.: US15448848Application Date: 2017-03-03
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Publication No.: US10706289B2Publication Date: 2020-07-07
- Inventor: Silpi Dhua , Anil M. Omanwar , Sujoy Sett , Pradip A. Waykos
- Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
- Applicant Address: US NY Armonk
- Assignee: International Business Machines Corporation
- Current Assignee: International Business Machines Corporation
- Current Assignee Address: US NY Armonk
- Agent Robert C. Bunker
- Main IPC: G06K9/00
- IPC: G06K9/00 ; B64C39/02 ; G06F16/583 ; G05D1/00 ; G08G5/00 ; G06Q30/02 ; G06K9/46 ; G06K9/32

Abstract:
A method, computer system, and a computer program product for analyzing a crowd using a plurality of images captured by an aerial drone is provided. The present invention may include determining a geographic area associated with the crowd. The present invention may also include partitioning the determined geographic area into a plurality of zones. The present invention may then include determining a flight path covering each zone within the plurality of zones. The present invention may further include receiving the plurality of images from the aerial drone. The present invention may also include analyzing the received plurality of images to identify a plurality of individuals associated with the crowd. The present invention may then include predicting a plurality of crowd characteristics based on the analyzed plurality of images. The present invention may further include performing an action in response to the predicted plurality of crowd characteristics.
Public/Granted literature
- US20180253605A1 CROWD DETECTION, ANALYSIS, AND CATEGORIZATION Public/Granted day:2018-09-06
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