Invention Grant
- Patent Title: Detection of humans in images using depth information
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Application No.: US16094997Application Date: 2016-05-19
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Publication No.: US10740912B2Publication Date: 2020-08-11
- Inventor: Haibing Ren , Yimin Zhang , Fei Duan
- Applicant: INTEL CORPORATION
- Applicant Address: US CA Santa Clara
- Assignee: Intel Corporation
- Current Assignee: Intel Corporation
- Current Assignee Address: US CA Santa Clara
- Agency: Finch & Maloney PLLC
- International Application: PCT/CN2016/082603 WO 20160519
- International Announcement: WO2017/197620 WO 20171123
- Main IPC: G06T7/50
- IPC: G06T7/50 ; G06K9/00 ; G06T7/10 ; G06K9/62

Abstract:
Techniques are provided for detection of humans in images that include depth information. A methodology embodying the techniques includes segmenting an image into multiple windows and estimating the distance to a subject in each window based on depth pixel values in that window, and filtering to reject windows with sizes that are outside of a desired window size range. The desired window size range is based on the estimated subject distance and the focal length of the depth camera that produced the image. The method further includes generating classifier features for each remaining windows (post-filtering) for use by a cascade classifier. The cascade classifier creates candidate windows for further consideration based on a preliminary detection of a human in any of the remaining windows. The method further includes merging neighboring candidate windows and executing a linear classifier on the merged candidate windows to verify the detection of a human.
Public/Granted literature
- US20190156499A1 DETECTION OF HUMANS IN IMAGES USING DEPTH INFORMATION Public/Granted day:2019-05-23
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