Patent №
US 8,325,982
Granted
2012-12-04
Filed 2009
Owner
VIDEOMINING CORPORATION
Lab
—
AI components
2
vision · hardware
Assignment
Recorded
Dataset
AIPD
2023_r1 edition
Application
12460818
The present invention is a method and system for detecting and tracking shopping carts from video images in a retail environment. First, motion blobs are detected and tracked from the video frames. Then these motion blobs are examined to determine whether or not some of them contain carts, based on the presence or absence of linear edge motion. Linear edges are detected within consecutive video frames, and their estimated motions vote for the presence of a cart. The motion blobs receiving enough votes are classified as cart candidate blobs. A more elaborate model of passive motions within blobs containing a cart is constructed. The detected cart candidate blob is then analyzed based on the constructed passive object motion model to verify whether or not the blob indeed shows the characteristic passive motion of a person pushing a cart. Then the finally-detected carts are corresponded across the video frames to generate cart tracks.
AI classification
Ownership
VIDEOMINING CORPORATION
assignment · 240810797
Assignors
MOON, HANKYU, SHARMA, RAJEEV, JUNG, NAMSOON
On an employer assignment, the assignors are typically the inventors.