公开(公告)号：US20250021624A1

公开(公告)日：2025-01-16

申请号：US18903940

申请日：2024-10-01

Applicant: Johnson Controls Tyco IP Holdings LLP

Inventor： Santle Camilus KULANDAI SAMY ,  Rajkiran Kumar GOTTUMUKKAL ,  Yohay FALIK ,  Rajiv RAMANASANKARAN ,  Prantik SEN ,  Deepak Chembakassery RAJENDRAN

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

Abstract: Example implementations include a method, apparatus, and computer-readable medium for object detection, comprising detecting a first object in a first image frame and a second image frame, wherein the first object is bounded by region-of-interest (ROI) boundaries generated by an ROI detection model. The implementations further include calculating a speed of the first object using positions of the first object in the first and second image frame, identifying at least one image frame that should include the first object based on a calculated speed of the first object. The implementations further include determining that the at least one image frame should be added to a training dataset for the ROI detection model in response to detecting that the ROI detection model did not generate a ROI boundary in the at least one image frame, and subsequently re-training the ROI detection model using said training dataset.

公开(公告)号：US20240111835A1

公开(公告)日：2024-04-04

申请号：US18533921

申请日：2023-12-08

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

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：US20230076241A1

公开(公告)日：2023-03-09

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: G06K9/62 ,  G06K9/32 ,  G06K9/00

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.