Method for estimating connection relation among wide-area distributed camera and program for estimating connection relation

• US 20090268033A1
• Filed: 08/30/2006
• Published: 10/29/2009
• Est. Priority Date: 08/30/2005
• Status: Abandoned Application

• Current Assignee: Nara Institute of Science and Technology, National University Corporation
• Original Assignee: Nara Institute of Science and Technology, National University Corporation
• Inventors: Ukita, Norimichi
• Application Number:
  US11/991,137
• Publication Number:
  US 20090268033A1
• Time in Patent Office: Days
• US Class Current: 348/169
• CPC Class Codes: G06T 2207/10016 Video; Image sequence
• CPC Class Codes: G06T 2207/30196 Human being; Person
• CPC Class Codes: G06T 2207/30232 Surveillance
• CPC Class Codes: G06T 2207/30241 Trajectory
• CPC Class Codes: G06T 7/292 Multi-camera tracking
• CPC Class Codes: H04N 7/181 for receiving images from a plurality of remote sources

Abstract

An estimating method and program for estimating the connection relation among distributed cameras to use the estimated relation for monitoring and tracking many object in a wide area. The feature of the invention is not to need any object association among cameras by recognition of a camera image. Each camera independently detects and tracks objects entering/exiting an observation image, and the image coordinates and times of the moments when each object is detected first and last in the image are acquired. All the acquired data observed by each camera is tentatively associated with all the acquired data observed by all the cameras before the detection of all the acquired data observed by the each camera, and the associated items of the data associated for each elapsed time are counted. By using the fact that the elapsed time of correctly associated data with the movement of the same object has a significant peak in the histogram showing the relation between the elapsed time and the number of observations, the connection relation among the fields of view of cameras (presence/absence of overlap between fields of view, image coordinates at which entrance/exit occurs, elapsed time, and pass probability) is acquired according to be peak detection result.

Claims

1. A method for estimating the connection relation among wide-area distributed cameras, comprising, in a process of estimating the connection relation among distributed cameras in object tracking by means of a multi-camera, the steps of:

detecting object entering and exiting points in each camera field of view;

voting for associating all entering and exiting points with each other;

classifying a correctly associated route and an incorrectly associated route based on similarity of coordinates of voted starting points and ending points and passage times; and

estimating each field of view and characteristics of routes, wherein a route can be detected by using only camera images.

2. The method for estimating the connection relation among wide-area distributed cameras according to claim 1, wherein the classification in the step of classifying a correctly associated route and an incorrectly associated route based on similarity of coordinates of voted starting points and ending points and passage times uses similarity classification of multidimensional vectors having vector elements including at least starting point coordinates, ending point coordinates, and passage times.

3. The method for estimating the connection relation among wide-area distributed cameras according to claim 1, wherein the step of classifying a correctly associated route and an incorrectly associated route based on similarity of coordinates of starting points and ending points and passage times classifies routes with the same voted object entering and exiting points into a route and its composite route according to the lengths of passage times.

4. The method for estimating the connection relation among wide-area distributed cameras according to claim 1, wherein the step of estimating fields of view and characteristics of routes obtains geometric relation among the fields of view by comparing five route types of a unidirectional field-of-view passing route, a single-field-of-view crossing route, an overlapping region passing route, a loop route, and a route between invisible fields of view with a detected correctly associated route.

5. The method for estimating the connection relation among wide-area distributed cameras according to claim 1, wherein the step of estimating the fields of view and characteristics of routes includes at least the steps of:

estimating probabilistic information of route coordinates from a set of coordinates of starting points and ending points voted in the respective routes; and

estimating probabilistic information of route passage time from a set of passage times voted for the routes.

6. An object detecting and tracking method including at least the method for estimating the connection relation among wide-area distributed cameras according to claim 1.

7. A program for estimating the connection relation among wide-area distributed cameras which makes a computer execute the method for estimating the connection relation among wide-area distributed cameras according to claims 1.

8. A computer-readable storage medium storing the program for estimating the connection relation among wide-area distributed cameras according to claim 7.