Sensor Placement Determination Device and Sensor Placement Determination Method

US2016142679A1 · US · A1

Patent metadata
FieldValue
Publication numberUS-2016142679-A1
Application numberUS-201314899834-A
CountryUS
Kind codeA1
Filing dateJun 21, 2013
Priority dateJun 21, 2013
Publication dateMay 19, 2016
Grant date

How to read this patent

A practical reading order for non-experts. Skip the full description unless you need deep technical detail.

  1. Title

    What the patent document calls the invention.

  2. Abstract

    A short plain-language summary of the technical disclosure.

  3. Assignees and inventors

    Who owns or filed the patent and who is credited as inventor.

  4. Key dates

    Filing, priority, publication, and grant dates set the timeline.

  5. First independent claim

    The legal scope of protection — read this for what is actually claimed.

  6. CPC / IPC classifications

    Technology tags used to group this patent with similar filings.

  7. Citations and related patents

    Prior art links and similar publications in this corpus.

Abstract

Official abstract text for this publication.

This sensor placement determination device is provided with an external storage device ( 15 ) in which traffic data, i.e. the actual paths taken by people, is recorded in a planned target area in which sensors are to be arranged, a traffic simulation observation unit ( 100 ) which, for candidate arrangement positions of the sensors in the target area, generates, on the basis of the traffic data, information about the passage of people through the monitoring area of the sensors, a traffic estimation unit ( 102 ) which, with the passage information as a constraining condition, generates candidate paths by which people might pass through the target area, an estimated error calculation unit ( 104 ) which, for the traffic through the monitoring area of the sensors, calculates an estimated error between the number of people passing along the candidate paths and the number of people passing along the actual paths, and an additional camera determination unit ( 106 ) which determines a sensor arrangement position that minimizes the calculated estimated traffic error.

First claim

Opening claim text (preview).

1 . A sensor placement determination device comprising: storage means configured to store, about a target area where a plurality of sensors that observes traffic is to be placed, traffic data that is an actual path of when a person actually passes through the target area; traffic simulation measurement means configured to simulatively generate observation information of the person observed with each of the sensors, when the plurality of sensors is placed, based on the traffic data, in candidates of placement positions of the plurality of sensors in the target area; traffic estimation means configured to estimate and generate a candidate path indicating how the person passes through the target area, using the observation information generated by the traffic simulation measurement means as a constraining condition; estimated error calculation means configured to compare the number of observed people of each candidate of the placement positions of the sensors calculated based on the candidate path generated by the traffic estimation means and the number of observed people of each candidate of the placement positions of the sensors calculated based on the traffic data, and calculate an estimated error of when the traffic estimation means estimates the candidate path; and sensor position determination means configured to select the candidate as the placement position of the sensor where the estimated error calculated by the estimated error calculation means becomes small, for the candidates of the placement positions of the plurality of sensors, and determines the placement position. 2 . The sensor placement determination device according to claim 1 , wherein the traffic estimation means generates the candidate path by multi-agent simulation. 3 . The sensor placement determination device according to claim 2 , wherein the traffic estimation means generates the candidate path matched with an observation value that is the observation information of the person observed with each of the sensors by a data assimilation technique, by weighting the candidate path with the observation value. 4 . The sensor placement determination device according to claim 3 , wherein the estimated error calculation means calculates the number of observed people for each area of the candidates of the placement positions of the sensors, of the target area, and uses a root mean square error of the number of people of each area, as the estimated error. 5 . The sensor placement determination device according to claim 1 , wherein the sensor is at least one of a camera, a line sensor, and a laser scanner. 6 . The sensor placement determination device according to claim 1 , wherein the sensor placement determination means selects the candidate of the placement position of the sensor for each passage portion where divergence does not exist. 7 . The sensor placement determination device according to claim 1 , wherein the sensor placement determination means displays the target area and the determined placement position of the sensor in a display device. 8 . A sensor placement determination method of adding a sensor in a target area, using a sensor placement determination device including a storage means that stores, about the target area where a plurality of sensors that measures traffic is to be placed, traffic data that is an actual path of when a person actually passes through the target area, traffic simulation measurement means, traffic estimation means, estimated error calculation means, and sensor position determination means, the traffic simulation measurement means simulatively generating observation information of the person observed with each of the sensors, when the plurality of sensors is placed, based on the traffic data, in candidates of placement positions of the plurality of sensors in the target area; the traffic estimation means estimating and generating a candidate path indicating how the person passes through the target area, using the observation information generated by the traffic simulation measurement means as a constraining condition; the estimated error calculation means comparing the number of observed people of each candidate of the placement positions of the sensors calculated based on the candidate path generated by the traffic estimation means and the number of observed people of each candidate of the placement positions of the sensors calculated based on the traffic data, and calculating an estimated error of when the traffic estimation means estimates the candidate path; and the sensor position determination means selecting the candidate as the placement position of the sensor where the estimated error calculated by the estimated error calculation means becomes small, for the candidates of the placement positions of the plurality of sensors, and determining the placement position.

Assignees

Inventors

Classifications

  • Physics · mapped topic

  • H04N7/181Primary

    for receiving images from a plurality of remote sources · CPC title

  • H04N7/18Primary

    Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast · CPC title

  • Recognition of crowd images, e.g. recognition of crowd congestion · CPC title

Patent family

Related publications grouped by family.

External sources

Frequently asked questions

Answers are generated from the same data shown on this page.

What does patent US2016142679A1 cover?
This sensor placement determination device is provided with an external storage device ( 15 ) in which traffic data, i.e. the actual paths taken by people, is recorded in a planned target area in which sensors are to be arranged, a traffic simulation observation unit ( 100 ) which, for candidate arrangement positions of the sensors in the target area, generates, on the basis of the traffic data…
Who is the assignee on this patent?
Hitachi Ltd
What technology area does this patent fall under?
Primary CPC classification H04N7/181. Mapped technology areas include Electricity.
When was this patent published?
Publication date Thu May 19 2016 00:00:00 GMT+0000 (Coordinated Universal Time) (A1). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).