公开(公告)号：US11893084B2

公开(公告)日：2024-02-06

申请号：US17468175

申请日：2021-09-07

Applicant: Johnson Controls Tyco IP Holdings LLP

Inventor： Santle Camilus Kulandai Samy ,  Rajkiran Kumar Gottumukkal ,  Yohai Falik ,  Rajiv Ramanasankaran ,  Prantik Sen ,  Deepak Chembakassery Rajendran

IPC: G06K9/00 ,  G06F18/214 ,  G06V10/25 ,  G06V20/40 ,  G06V10/62 ,  G06V10/774 ,  G06T7/246

CPC classification number: G06F18/2148 ,  G06T7/246 ,  G06V10/25 ,  G06V10/62 ,  G06V10/774 ,  G06V20/41 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/20132 ,  G06T2207/30168 ,  G06T2207/30196 ,  G06T2207/30232

Abstract: Disclosed herein is an object detection system, including apparatuses and methods for object detection. An implementation may include receiving a first image frame from an ROI detection model that generated a first ROI boundary around a first object detected in the first image frame and subsequently receiving a second image frame. The implementation further includes predicting, using an ROI tracking model, that the first ROI boundary will be present in the second image frame and then detecting whether the first ROI boundary is in fact present in the second image frame. The implementation includes determining that the second image frame should be added to a training dataset for the ROI detection model when detecting that the ROI detection model did not generate the first ROI boundary in the second image frame as predicted and re-training the ROI detection model using the training dataset.

公开(公告)号：US20240135687A1

公开(公告)日：2024-04-25

申请号：US18402528

申请日：2024-01-02

Applicant: Johnson Controls Tyco IP Holdings LLP

Inventor： Santle Camilus Kulandai Samy ,  Rajkiran Kumar Gottumukkal ,  Yohai Falik ,  Rajiv Ramanasankaran ,  Prantik Sen ,  Deepak Chembakassery Rajendran

IPC: G06V10/774 ,  G06T7/246 ,  G06V10/764 ,  G06V20/40 ,  G06V20/70 ,  G06V40/10

CPC classification number: G06V10/774 ,  G06T7/248 ,  G06V10/764 ,  G06V20/41 ,  G06V20/70 ,  G06V40/10 ,  G06T2207/10016 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30196 ,  G06V2201/10

Abstract: Disclosed herein is an object detection system, including apparatuses and methods for object detection. An implementation may include receiving a first class of a first object depicted in an image frame from a classification model and subsequently receiving a second image frame. The implementation further includes predicting, using a classification tracking model, that the classification model will output the first class for the second image frame and then detecting whether the first class is in fact outputted. The implementation includes determining that the second image frame should be added to a training dataset for the classification model when detecting that the classification model did not generate the first class for the second image frame as predicted and re-training the classification model using the training dataset.