The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Oct. 30, 2012

Filed:

Oct. 23, 2007
Applicants:

Yun Young Nam, Suwon-si, KR;

Jung Hun Ryu, Suwon-si, KR;

We-duke Cho, Seongnam-si, KR;

Inventors:

Yun Young Nam, Suwon-si, KR;

Jung Hun Ryu, Suwon-si, KR;

We-Duke Cho, Seongnam-si, KR;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
H04N 5/225 (2006.01); G06K 9/00 (2006.01);
U.S. Cl.
CPC ...
Abstract

Provided are an apparatus and a method for tracking movements of objects to infer a topology of a network of multiple cameras. The apparatus infers the topology of the network formed of the multiple cameras that sequentially obtain images and includes an object extractor, a haunting data generator, and a haunting database (DB), and a topology inferrer. The object extractor extracts at least one from each of the obtained images, for the multiple cameras. The haunting data generator generates appearing cameras and appearing times at which the moving objects appear, and disappearing cameras and disappearing times at which the moving objects disappear, for the multiple cameras. The haunting DB stores the appearing cameras and appearing times and the disappearing cameras and disappearing times of the moving object, for the multiple cameras. The topology inferrer infers the topology of the network using the appearing cameras and appearing times and the disappearing cameras and disappearing times of moving objects. Therefore, the apparatus accurately infers topologies and distances among the multiple cameras in the network of the multiple cameras using the cameras and appearing and disappearing times at which the moving objects appear and disappear. As a result, the apparatus accurately track the moving objects in the network.


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