Invention Grant
- Patent Title: Human detection in high density crowds
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Application No.: US15521512Application Date: 2016-05-23
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Publication No.: US10402633B2Publication Date: 2019-09-03
- Inventor: Shaopeng Tang , Yurong Chen
- Applicant: Intel Corporation
- Applicant Address: US CA Santa Clara
- Assignee: Intel Corporation
- Current Assignee: Intel Corporation
- Current Assignee Address: US CA Santa Clara
- Agency: Schwabe, Williamson & Wyatt, P.C.
- International Application: PCT/CN2016/082955 WO 20160523
- International Announcement: WO2017/201638 WO 20171130
- Main IPC: G06K9/00
- IPC: G06K9/00 ; G06T7/11 ; H04N7/18 ; H04N13/204

Abstract:
The present disclosure describes a non-learning based process and apparatus for detecting humans in an image. This may include receiving an image that has pixel distance information from a camera and using that to determine a height of the pixel above a ground surface. One or more regions may then be identified that may include a head and shoulders of an individual in the image. A multiple threshold technique may be used to remove some background regions, and a mean-shift technique used to find the local highest regions that may be combination of head and shoulders of the person. In embodiments, the view angle and/or the height of the camera may not be fixed.
Public/Granted literature
- US20180189557A1 HUMAN DETECTION IN HIGH DENSITY CROWDS Public/Granted day:2018-07-05
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