US 12,147,501 B2
Object detection systems and methods including an object detection model using a tailored training dataset
Santle Camilus Kulandai Samy, Santa Clara, CA (US); Rajkiran Kumar Gottumukkal, Bangalore (IN); Yohai Falik, Petah Tiqwa (IL); Rajiv Ramanasankaran, Santa Clara, CA (US); Prantik Sen, Bangalore (IL); and Deepak Chembakassery Rajendran, Kerala (IN)
Assigned to Tyco Fire & Security GmbH, Neuhausen am Rheinfall (CH)
Filed by Tyco Fire & Security GmbH, Neuhausen am Rheinfall (CH)
Filed on Dec. 8, 2023, as Appl. No. 18/533,921.
Application 18/533,921 is a continuation of application No. 17/468,175, filed on Sep. 7, 2021, granted, now 11,893,084.
Prior Publication US 2024/0111835 A1, Apr. 4, 2024
This patent is subject to a terminal disclaimer.
Int. Cl. G06K 9/00 (2022.01); G06F 18/214 (2023.01); G06T 7/246 (2017.01); G06V 10/25 (2022.01); G06V 10/62 (2022.01); G06V 10/774 (2022.01); G06V 20/40 (2022.01)
CPC G06F 18/2148 (2023.01) [G06T 7/246 (2017.01); G06V 10/25 (2022.01); G06V 10/62 (2022.01); G06V 10/774 (2022.01); G06V 20/41 (2022.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/20132 (2013.01); G06T 2207/30168 (2013.01); G06T 2207/30196 (2013.01); G06T 2207/30232 (2013.01)] 20 Claims
OG exemplary drawing
 
1. An apparatus for object detection, comprising:
at least one memory comprising instructions;
at least one hardware processor coupled with the at least one memory and configured individually or in combination to execute the instructions, to:
detect a first object in a second image frame, wherein the first object is bounded by a first region-of-interest (ROI) boundary generated in a first image frame by an ROI detection model, and wherein the first image frame precedes the second image frame in a video;
determine that the second 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 the first ROI boundary in the second image frame; and
re-train the ROI detection model, to define a re-trained ROI detection model, using the training dataset comprising the second image frame in response to determining that the second image frame should be added to the training dataset.