公开(公告)号：US10083352B1

公开(公告)日：2018-09-25

申请号：US15631449

申请日：2017-06-23

Applicant: Amazon Technologies, Inc.

Inventor： Mashhour Solh ,  Lelin Zhang ,  Jinglun Gao

IPC: G06K9/00 ,  G06K9/32 ,  G06K9/20

CPC classification number: G06K9/00362 ,  G06K9/00335 ,  G06K9/00369 ,  G06K9/00771 ,  G06K9/20 ,  G06K9/3241 ,  G06K9/4609 ,  G06T2207/30196

Abstract: A system configured to improve human presence detection and/or localization by generating aggregate confidence values. The system may aggregate confidence values corresponding to overlapping regions of interest. The system may perform human presence detection by comparing the aggregate confidence values to a universal threshold, with aggregate confidence values above the universal threshold indicating that human presence is detected. The system may use the aggregate confidence values to generate a heatmap, may identify a strongest cluster of pixels in the heatmap and determine a bounding box surrounding the strongest cluster. To reduce false positive detections, the system may track the false positive detections as heatmap base data and may remove the heatmap base data from the heatmap. Thus, pixel intensity values corresponding to the false positive detections may be reduced to improve an accuracy of the human presence detection.

公开(公告)号：US10380853B1

公开(公告)日：2019-08-13

申请号：US15601752

申请日：2017-05-22

Applicant: Amazon Technologies, Inc.

Inventor： Mashhour Solh ,  Lelin Zhang ,  Jinglun Gao

IPC: H04N7/18 ,  G08C23/04 ,  G08B13/194 ,  H04N5/33 ,  G08B13/18

Abstract: A system configured to improve human presence detection and/or localization by generating aggregate confidence values. The system may aggregate confidence values corresponding to overlapping regions of interest. The system may perform human presence detection by comparing the aggregate confidence values to a universal threshold, with aggregate confidence values above the universal threshold indicating that human presence is detected. The system may use the aggregate confidence values to generate a heatmap, may identify a strongest cluster of pixels in the heatmap and determine a bounding box surrounding the strongest cluster. To distinguish the strongest cluster from a second strongest cluster of pixels, the system may apply a Gaussian kernel with varying threshold values. The system may store the threshold value at which the strongest cluster separates from the second strongest cluster and may use the threshold value to generate the bounding box.