US 12,266,205 B2
System and method for detecting, tracking and counting human objects of interest with an improved height calculation
Zhiqian Wang, Lisle, IL (US)
Assigned to SHOPPERTRAK RCT LLC, Chicago, IL (US)
Appl. No. 17/259,063
Filed by ShopperTrak RCT LLC, Chicago, IL (US)
PCT Filed Aug. 8, 2018, PCT No. PCT/US2018/045812
§ 371(c)(1), (2) Date Jan. 8, 2021,
PCT Pub. No. WO2020/032944, PCT Pub. Date Feb. 13, 2020.
Prior Publication US 2021/0133491 A1, May 6, 2021
Int. Cl. G06V 40/10 (2022.01); G06F 18/23213 (2023.01); G06F 18/2413 (2023.01); G06V 10/762 (2022.01); G06V 20/52 (2022.01); G06V 40/20 (2022.01)
CPC G06V 40/103 (2022.01) [G06F 18/23213 (2023.01); G06F 18/24147 (2023.01); G06V 10/763 (2022.01); G06V 20/52 (2022.01); G06V 40/23 (2022.01)] 15 Claims
OG exemplary drawing
 
1. A computer-implemented method for evaluating height data, the method comprising:
obtaining multiple height maps, wherein each height map of the multiple height maps corresponds to an image of a scene including an object over a specified duration;
detecting, in each height map of the multiple height maps, a blob corresponding to an object;
obtaining, by execution of one or more processors and from the multiple height maps, a plurality of height values for the object, wherein each height value of the plurality of height values corresponds to the height value of the blob tracked in one of the multiple height maps;
generating, from the plurality of height values, a plurality of clusters by height value, each cluster including at least one of the plurality of height values, at least one cluster including a plurality of height values;
identifying one of the plurality of clusters having a largest amount of the plurality of height values relative to one or more remaining clusters of the plurality of clusters; and
estimating a height of the object from the identified one of the plurality of clusters.