US 12,272,155 B2
Method for detecting vehicle and device for executing the same
Shin Hyoung Kim, Seongnam-si (KR)
Assigned to THINKWARE CORPORATION, Seongnam-si (KR)
Filed by THINKWARE CORPORATION, Seongnam-si (KR)
Filed on Dec. 19, 2023, as Appl. No. 18/544,988.
Application 18/544,988 is a continuation of application No. 17/939,175, filed on Sep. 7, 2022, granted, now 11,881,030.
Application 17/939,175 is a continuation of application No. 16/705,973, filed on Dec. 6, 2019, granted, now 11,475,576, issued on Oct. 18, 2022.
Claims priority of application No. 10-2018-0156746 (KR), filed on Dec. 7, 2018; and application No. 10-2019-0151276 (KR), filed on Nov. 22, 2019.
Prior Publication US 2024/0127601 A1, Apr. 18, 2024
This patent is subject to a terminal disclaimer.
Int. Cl. G06V 20/58 (2022.01); B60G 9/00 (2006.01); B60Q 9/00 (2006.01); B60R 11/04 (2006.01); G06T 7/246 (2017.01); G06T 7/50 (2017.01); G06T 7/73 (2017.01); G06V 10/98 (2022.01)
CPC G06V 20/58 (2022.01) [B60Q 9/008 (2013.01); G06T 7/248 (2017.01); G06T 7/50 (2017.01); G06T 7/74 (2017.01); G06V 10/98 (2022.01); B60R 11/04 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/30252 (2013.01); G06V 2201/08 (2022.01)] 20 Claims
OG exemplary drawing
 
1. A method for detecting a vehicle, the method comprising:
receiving continuously captured front images;
setting a search area of the vehicle in a target image based on a location of the vehicle or a vehicle area detected from a previous image among the front images;
detecting the vehicle in the search area according to a machine learning model; and
tracking the vehicle in the target image by using feature points of the vehicle extracted from the previous image according to a vehicle detection result based on the machine learning model,
wherein the detecting uses a classifier separately trained according to a size of the vehicle or a characteristic of a distance to the vehicle.