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公开(公告)号:US20240193805A1
公开(公告)日:2024-06-13
申请号:US18063819
申请日:2022-12-09
Applicant: Johnson Controls Tyco IP Holdings LLP
Inventor: Ran LEVY , Amit ROZNER , Yohai FALIK
CPC classification number: G06T7/73 , G06T3/0006 , G06T7/13 , G06V40/167
Abstract: Example implementations include a method, apparatus and computer-readable medium for detecting an object in an image, by applying, on a first input image, a first object detector configured to generate a bounding box around the object in the first input image. The implementations further include identifying a first bounding box having a first bounding box size around the object in the first input image and determining that the first bounding box size is less than a threshold size. Additionally, the implementations further include generating a second input image by cropping an area of the original image corresponding to the first bounding box and identifying, by applying a second object detector on the second input image, a second bounding box around the object in the second input image. Additionally, the implementations further include performing an image analysis function on the object using information from the second bounding box.
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公开(公告)号:US20240169589A1
公开(公告)日:2024-05-23
申请号:US18516131
申请日:2023-11-21
Applicant: Johnson Controls Tyco IP Holdings LLP
Inventor: Amit ROZNER , Yohai FALIK , Calanit DOTAN
CPC classification number: G06T7/80 , G06T7/60 , G06T7/73 , H04N17/002 , G06T2207/30201
Abstract: Example implementations include a method, apparatus and computer-readable medium for estimating a real world height in an image, comprising obtaining two images of an object, with known height, wherein each image depicts the object at a different position that is estimated using a homography matrix. The homography matrix transforms an image plane associated with the image to a real world plane. The implementations include generating a first vector that intersects with the object and points to a real world ground plane using the first image and a second vector that intersects with the same point on the object and points to the real world ground plane using the second image. Additionally, the implementations further include calibrating the camera by determining a height of the center of a camera lens of the camera using an intersection of the first vector and the second vector.
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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.
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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
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.
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