WO2014098327A1 - Method and device for estimating travel information through combination of measured results on motion by region - Google Patents

Method and device for estimating travel information through combination of measured results on motion by region Download PDF

Info

Publication number
WO2014098327A1
WO2014098327A1 PCT/KR2013/004444 KR2013004444W WO2014098327A1 WO 2014098327 A1 WO2014098327 A1 WO 2014098327A1 KR 2013004444 W KR2013004444 W KR 2013004444W WO 2014098327 A1 WO2014098327 A1 WO 2014098327A1
Authority
WO
WIPO (PCT)
Prior art keywords
target area
pir
movement information
sensors
measurement
Prior art date
Application number
PCT/KR2013/004444
Other languages
French (fr)
Korean (ko)
Inventor
윤재석
원광호
김재호
이상신
안일엽
송민환
Original Assignee
전자부품연구원
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 전자부품연구원 filed Critical 전자부품연구원
Publication of WO2014098327A1 publication Critical patent/WO2014098327A1/en

Links

Images

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01PMEASURING LINEAR OR ANGULAR SPEED, ACCELERATION, DECELERATION, OR SHOCK; INDICATING PRESENCE, ABSENCE, OR DIRECTION, OF MOVEMENT
    • G01P13/00Indicating or recording presence, absence, or direction, of movement
    • G01P13/02Indicating direction only, e.g. by weather vane
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01JMEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
    • G01J5/00Radiation pyrometry, e.g. infrared or optical thermometry
    • G01J5/02Constructional details
    • G01J5/03Arrangements for indicating or recording specially adapted for radiation pyrometers
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/103Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01CMEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C22/00Measuring distance traversed on the ground by vehicles, persons, animals or other moving solid bodies, e.g. using odometers, using pedometers
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N7/00Television systems
    • H04N7/18Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast

Definitions

  • the present invention relates to a method and apparatus for estimating movement information, and more particularly, to a method and apparatus for estimating movement information on a movement occurring in a target area.
  • CCTV cameras and PIR sensors are the representative equipment that can monitor the movements occurring in the target area.
  • the PIR sensor 10 shown in FIG. 1 can detect motion at low cost, movement information that can be detected is very limited. That is, the PIR sensor 10 can only detect the fact that a motion has occurred in the target area, and thus can be used only for an automatic lighting system in a bathroom, a staircase, a porch, and the like. That is, there is a problem that it is impossible to grasp specific movement information using the PIR sensor 10.
  • the present invention has been made to solve the above problems, an object of the present invention is to provide a low-cost equipment / elements to specifically recognize the movement information about the movement occurred in the target area,
  • the present invention provides a method and apparatus for estimating motion information through a combination of motion measurement results for each region.
  • a motion information estimating apparatus comprising: sensors for measuring motion in different measurement areas within a target area; And a processor which combines the measurement results of the sensors to estimate movement information occurring in the target area.
  • the apparatus for estimating movement information may further include a storage unit in which the measurement results are matched with the movement information and stored in a DB.
  • the processor may further measure the measurement in the DB stored in the storage unit.
  • the movement information matched with the result may be searched to estimate the movement information.
  • the DB may learn and generate measurement results generated according to different movements.
  • the movement information may include at least one of a moving direction, a moving distance, a moving speed, and a moving height.
  • the sensors may be partly covered with a portion of the cover to detect after irradiating infrared rays to the different measurement areas.
  • some of the measurement areas may overlap each other.
  • the measurement areas may be arranged in a form of radiation in which the central areas overlap each other.
  • a method for estimating motion information may include: measuring motion in different measurement areas within a target area; And combining the measurement results in the measuring step to estimate movement information generated in the target area.
  • the present invention it is possible to specifically estimate the movement information on the movement occurring in the target region by combining the movement measurement results for each region using the sensors, thereby securing the specific movement information at low cost. You will be provided.
  • FIG. 1 is a view showing the appearance of a PIR sensor covered with a cover
  • 3 shows a target area and a measurement area
  • 4 to 7 are graphs illustrating sensor signals generated and output when different movements occur in a measurement target area
  • FIG. 8 is a block diagram of a motion information estimating apparatus according to a preferred embodiment of the present invention.
  • FIG 2 is an external perspective view of the PIR cluster 110 used in the motion information estimating apparatus according to the preferred embodiment of the present invention.
  • the PIR cluster 110 is a collection of PIR sensors 110-1, 110-2, 110-3, and 110-4 for measuring movement occurring in the target area in a plurality of measurement areas separated from the target area.
  • the PIR cluster 110 may be installed on the ceiling of a building to measure movement in the building downward.
  • the PIR sensors 110-1, 110-2, 110-3, and 110-4 have different parts of the sensor cover as shown in FIG. 2 so that the PIR sensors 110-1, 110-2, 110-3, and 110-4 can detect different irradiation areas after irradiation with infrared rays. It is hidden. In FIG. 2, the hatched portions are hidden, and they are preferably implemented by a material having high reflectance.
  • PIR sensor-1 110-1 is a sensor cover is opened in the "-" direction, to observe the movement occurred in the measurement target area ( ⁇ ) shown in Figure 3 in the "200-1" region,
  • PIR sensor-2 (110-2) is a sensor cover is opened in the direction "
  • the sensor cover is opened in the direction of " ⁇ " to observe the movement occurring in the measurement target region ⁇ shown in FIG. 3 in the " 200-4 " region.
  • the measurement areas of the PIR sensors 110-1, 110-2, 110-3, and 110-4 constituting the PIR cluster 110 appear to overlap some areas. . Specifically, the measurement areas are arranged in a radiation form in which the central areas overlap each other.
  • the PIR sensors 110-1, 110-2, 110-3, and 110-4 constituting the PIR cluster 110 are included. Are different from each other (ie, sensor signals generated and output from the PIR sensors 110-1, 110-2, 110-3, and 110-4).
  • FIG. 4 illustrates a sensor signal generated and output by the PIR sensors 110-1, 110-2, 110-3, and 110-4 when the user enters the measurement target area ⁇ in the direction of " ⁇ ". Is a graph showing
  • FIG. 5 illustrates a sensor signal generated and output by the PIR sensors 110-1, 110-2, 110-3, and 110-4 when the user enters the measurement target area ⁇ in a direction ⁇ . Is a graph showing
  • FIG. 6 illustrates a sensor signal generated and output by the PIR sensors 110-1, 110-2, 110-3, and 110-4 when the user enters the measurement target area ⁇ in the direction of " ⁇ ". Is a graph showing
  • FIG. 7 illustrates a sensor signal generated and output by the PIR sensors 110-1, 110-2, 110-3, and 110-4 when the user enters the measurement target area ⁇ in the direction of “ ⁇ ”. This is a graph.
  • the PIR cluster 110 generates four different sensor signals.
  • the apparatus for estimating motion information according to the present embodiment includes a PIR cluster 110, a signal processor 120, a processor 130, and a storage 140.
  • the PIR cluster 110 has PIR sensors 110-1, 110-2, 110-3, and 110-4 designed to react differently to movement in the target area, as described above.
  • the signal processor 120 performs signal processing on sensor signals output from the PIR sensors 110-1, 110-2, 110-3, and 110-4. Signal processing performed by the signal processor 120 includes amplification, noise removal, A / D conversion, and the like.
  • the processor 130 operates in two modes, a learning mode and an estimation mode, which will be described in detail below.
  • the learning mode generates different patterns of movement in the measurement target region of the PIR cluster 110, and is measured / generated by the PIR sensors 110-1, 110-2, 110-3, and 110-4.
  • the sensor signals are matched with the movement information and stored in a DB in the storage unit 140.
  • the sensor signal contained in the DB can be implemented as an average of several learning results.
  • the estimation mode is a mode for estimating movement information indicating a motion occurring in the target area.
  • the DB stored in the storage 140 in the learning mode is referred to the movement information estimation.
  • the processor 130 stores movement information matched to patterns of sensor signals that are the measurement results of the PIR sensors 110-1, 110-2, 110-3, and 110-4 in the learning mode. Movement information estimation is performed by searching the DB stored in 140.
  • the processor 130 combines the measurement results of the PIR sensors 110-1, 110-2, 110-3, and 110-4, and stores the DB stored in the storage 140 in the learning mode. Based on this, it can be said to estimate the movement information about the movement occurring in the target area.
  • the PIR sensor mentioned in the above embodiment is a kind of sensor for detecting a motion, and of course, the PIR sensor may be replaced with a general infrared sensor as well as other types of motion detection sensors.
  • the number of PIR sensors constituting the PIR cluster 110 is assumed to be four, which is merely an example for convenience of description. That is, the number of PIR sensors constituting the PIR cluster 110 may be two, three or five or more, which is a matter of choice.
  • the angles formed by the opening directions of the PIR sensor cover decrease as the number of PIR sensors increases, and decrease as the number of PIR sensors decreases. Therefore, as the number of PIR sensors increases, it is possible to estimate the movement information more precisely. However, since this increases the learning amount and the DB, it is important to appropriately select the number of PIR sensors.
  • the opening directions (measurement areas) of the PIR sensor cover are radial, but this is merely illustrative and can be implemented differently.
  • PIR sensor-1 110-1 measures the upper region
  • PIR sensor-2 110-2 measures the lower region
  • PIR sensor-3 110-3 measures the left region.
  • the technical idea of the present invention is applicable.

Abstract

Provided is a method and device for estimating travel information through a combination of measured results on motion by region. The device for estimating travel information according to an embodiment of the present invention includes sensors measuring motion in different measurement regions in a target area and a processor combining results measured by sensors and estimating travel information generated in the target area. Accordingly, there may be an advantage in that it is possible to obtain particular travel information at low cost.

Description

영역별 움직임 측정 결과 조합을 통한 이동정보 추정 방법 및 장치Method and apparatus for estimating motion information by combining motion measurement results for each area
본 발명은 이동정보 추정 방법 및 장치에 관한 것으로, 더욱 상세하게는 대상 영역 내에서 발생한 움직임에 대한 이동정보를 추정하는 방법 및 장치에 관한 것이다.The present invention relates to a method and apparatus for estimating movement information, and more particularly, to a method and apparatus for estimating movement information on a movement occurring in a target area.
대상 영역 내에서 발생한 움직임을 감시할 수 있는 대표적인 장비로 CCTV 카메라와 PIR 센서(Pyroelectric InfraRed Sensor : 초전형 적외선 센서)를 들 수 있다.CCTV cameras and PIR sensors (Pyroelectric InfraRed Sensors) are the representative equipment that can monitor the movements occurring in the target area.
카메라는 비교적 정확하게 움직임을 감지할 수 있다는 장점이 있지만 고가의 장비이기 때문에, 아주 높은 정확도의 움직임 감지가 필요 없는 상황이라면 부적절하다.Cameras have the advantage of detecting motion relatively accurately, but because they are expensive equipment, they are inadequate in situations where very high accuracy motion detection is not required.
도 1에 도시된 PIR 센서(10)는 저비용으로 움직임을 감지할 수 있지만, 감지해 낼 수 있는 이동정보는 매우 제한적이다. 즉, PIR 센서(10)는 대상 영역 내에 움직임이 발생하였다는 사실만을 감지할 수 있을 뿐이어서, 화장실, 계단, 현관 등에서의 자동 조명 시스템에만 이용가능할 뿐이다. 즉, PIR 센서(10)를 이용하여 구체적인 이동정보를 파악하는 것은 불가능하다는 문제가 있다.Although the PIR sensor 10 shown in FIG. 1 can detect motion at low cost, movement information that can be detected is very limited. That is, the PIR sensor 10 can only detect the fact that a motion has occurred in the target area, and thus can be used only for an automatic lighting system in a bathroom, a staircase, a porch, and the like. That is, there is a problem that it is impossible to grasp specific movement information using the PIR sensor 10.
본 발명은 상기와 같은 문제점을 해결하기 위하여 안출된 것으로서, 본 발명의 목적은, 저가의 장비/소자들로 대상 영역 내에서 발생한 움직임에 대한 이동정보를 구체적으로 인지할 수 있도록 하기 위한 방안으로, 영역별 움직임 측정 결과 조합을 통한 이동정보 추정 방법 및 장치를 제공함에 있다.The present invention has been made to solve the above problems, an object of the present invention is to provide a low-cost equipment / elements to specifically recognize the movement information about the movement occurred in the target area, The present invention provides a method and apparatus for estimating motion information through a combination of motion measurement results for each region.
상기 목적을 달성하기 위한 본 발명의 일 실시예에 따른, 이동정보 추정 장치는, 대상 영역 내의 서로 다른 측정 영역들에서 움직임을 측정하는 센서들; 및 상기 센서들의 측정 결과들을 조합하여, 상기 대상 영역 내에서 발생한 이동정보를 추정하는 프로세서;를 포함한다.According to an aspect of the present invention, there is provided a motion information estimating apparatus comprising: sensors for measuring motion in different measurement areas within a target area; And a processor which combines the measurement results of the sensors to estimate movement information occurring in the target area.
그리고, 본 발명의 일 실시예에 따른 이동정보 추정 장치는, 상기 측정 결과들이 상기 이동정보에 매칭되어 DB로 저장된 저장부;를 더 포함하고, 상기 프로세서는, 상기 저장부에 저장된 DB에서 상기 측정 결과에 매칭된 상기 이동정보를 검색하여, 상기 이동정보를 추정할 수 있다.The apparatus for estimating movement information according to an embodiment of the present invention may further include a storage unit in which the measurement results are matched with the movement information and stored in a DB. The processor may further measure the measurement in the DB stored in the storage unit. The movement information matched with the result may be searched to estimate the movement information.
또한, 상기 DB는, 각기 다른 움직임에 따라 발생하는 측정 결과들을 학습하여 생성할 수 있다.The DB may learn and generate measurement results generated according to different movements.
그리고, 상기 이동정보는, 이동방향, 이동거리, 이동속도 및 이동높이 중 적어도 하나를 포함할 수 있다.The movement information may include at least one of a moving direction, a moving distance, a moving speed, and a moving height.
또한, 상기 센서들은, 상기 서로 다른 측정 영역들에 적외선을 조사 후 감지하도록 커버의 일부가 각기 다르게 가려질 수 있다.In addition, the sensors may be partly covered with a portion of the cover to detect after irradiating infrared rays to the different measurement areas.
그리고, 상기 측정 영역들은, 일부 영역이 서로 중복될 수 있다.In addition, some of the measurement areas may overlap each other.
또한, 상기 측정 영역들은, 중앙 영역이 서로 중복되는 방사(放射) 형태로 배치될 수 있다.In addition, the measurement areas may be arranged in a form of radiation in which the central areas overlap each other.
한편, 본 발명의 다른 실시예에 따른, 이동정보 추정 방법은, 대상 영역 내의 서로 다른 측정 영역들에서 움직임을 측정하는 단계; 및 상기 측정 단계에서의 측정 결과들을 조합하여, 상기 대상 영역 내에서 발생한 이동정보를 추정하는 단계;를 포함한다.On the other hand, according to another embodiment of the present invention, a method for estimating motion information may include: measuring motion in different measurement areas within a target area; And combining the measurement results in the measuring step to estimate movement information generated in the target area.
이상 설명한 바와 같이, 본 발명에 따르면, 센서들을 이용한 영역별 움직임 측정 결과들을 조합하여 대상 영역에서 발생한 움직임에 대한 이동정보를 구체적으로 추정할 수 있게 되어, 저비용으로 구체적인 이동정보를 확보하게 되는 이점을 제공받을 수 있게 된다.As described above, according to the present invention, it is possible to specifically estimate the movement information on the movement occurring in the target region by combining the movement measurement results for each region using the sensors, thereby securing the specific movement information at low cost. You will be provided.
도 1은 커버로 덮여진 PIR 센서의 외관을 도시한 도면,1 is a view showing the appearance of a PIR sensor covered with a cover,
도 2는 PIR 클러스터의 외관 사시도,2 is an external perspective view of the PIR cluster;
도 3은 대상 영역과 측정 영역들을 도시한 도면,3 shows a target area and a measurement area;
도 4 내지 도 7은 측정 대상 영역에서의 각기 다른 움직임이 발생한 경우에 생성/출력되는 센서신호들을 예시한 그래프, 그리고,4 to 7 are graphs illustrating sensor signals generated and output when different movements occur in a measurement target area;
도 8은 본 발명의 바람직한 실시예에 따른 이동정보 추정 장치의 블럭도이다.8 is a block diagram of a motion information estimating apparatus according to a preferred embodiment of the present invention.
이하에서는 도면을 참조하여 본 발명을 보다 상세하게 설명한다.Hereinafter, with reference to the drawings will be described the present invention in more detail.
도 2는 본 발명의 바람직한 실시예에 따른 이동정보 추정 장치에 이용되는 PIR 클러스터(110)의 외관 사시도이다.2 is an external perspective view of the PIR cluster 110 used in the motion information estimating apparatus according to the preferred embodiment of the present invention.
PIR 클러스터(110)는 대상 영역에서 발생한 움직임을 대상 영역으로부터 구분된 다수의 측정 영역들에서 측정하기 위한 PIR 센서들(110-1, 110-2, 110-3 및 110-4)의 집합이다.The PIR cluster 110 is a collection of PIR sensors 110-1, 110-2, 110-3, and 110-4 for measuring movement occurring in the target area in a plurality of measurement areas separated from the target area.
PIR 클러스터(110)는 건물 천정에 설치되어 건물 내부에서의 움직임을 아래 방향으로 측정할 수 있다.The PIR cluster 110 may be installed on the ceiling of a building to measure movement in the building downward.
PIR 센서들(110-1, 110-2, 110-3 및 110-4)은 서로 다른 측정 영역들에 적외선을 조사한 후 감지할 수 있도록, 도 2에 도시된 바와 같이 센서 커버의 일부가 각기 다르게 가려져 있다. 도 2에서 빗금 친 부분들이 가려진 부분들로, 이들은 반사율이 높은 물질로 구현함이 바람직하다.The PIR sensors 110-1, 110-2, 110-3, and 110-4 have different parts of the sensor cover as shown in FIG. 2 so that the PIR sensors 110-1, 110-2, 110-3, and 110-4 can detect different irradiation areas after irradiation with infrared rays. It is hidden. In FIG. 2, the hatched portions are hidden, and they are preferably implemented by a material having high reflectance.
1) PIR 센서-1(110-1)은 센서 커버가 "―" 방향으로 개방되어, 도 3에 도시된 측정 대상 영역(○)에서 발생한 움직임을 "200-1" 영역에서 관측하고,1) PIR sensor-1 (110-1) is a sensor cover is opened in the "-" direction, to observe the movement occurred in the measurement target area (○) shown in Figure 3 in the "200-1" region,
2) PIR 센서-2(110-2)는 센서 커버가 "|" 방향으로 개방되어, 도 3에 도시된 측정 대상 영역(○)에서 발생한 움직임을 "200-2" 영역에서 관측하며,2) PIR sensor-2 (110-2) is a sensor cover is opened in the direction "|", and observes the movement occurring in the measurement target area (○) shown in Figure 3 in the "200-2" region,
3) PIR 센서-3(110-3)은 센서 커버가 "/" 방향으로 개방되어, 도 3에 도시된 측정 대상 영역(○)에서 발생한 움직임을 "200-3" 영역에서 관측하고,3) In the PIR sensor-3 110-3, the sensor cover is opened in the "/" direction, and the movement generated in the measurement target region (○) shown in FIG. 3 is observed in the "200-3" region,
4) PIR 센서-4(110-4)는 센서 커버가 "\" 방향으로 개방되어, 도 3에 도시된 측정 대상 영역(○)에서 발생한 움직임을 "200-4" 영역에서 관측한다.4) In the PIR sensor-4 110-4, the sensor cover is opened in the direction of " \ " to observe the movement occurring in the measurement target region ○ shown in FIG. 3 in the " 200-4 " region.
도 3에 도시된 바와 같이, PIR 클러스터(110)를 구성하는 PIR 센서들(110-1, 110-2, 110-3 및 110-4)에 의한 측정 영역들은 일부 영역이 서로 중복되는 형상으로 나타난다. 구체적으로, 측정 영역들은 중앙 영역이 서로 중복되는 방사(放射) 형태로 배치된다.As shown in FIG. 3, the measurement areas of the PIR sensors 110-1, 110-2, 110-3, and 110-4 constituting the PIR cluster 110 appear to overlap some areas. . Specifically, the measurement areas are arranged in a radiation form in which the central areas overlap each other.
측정 영역이 다르기 때문에, 측정 대상 영역(○) 내에서 하나의 움직임이 발생하였다 하더라도, PIR 클러스터(110)를 구성하는 PIR 센서들(110-1, 110-2, 110-3 및 110-4)의 반응(즉, PIR 센서들(110-1, 110-2, 110-3 및 110-4)에서 생성되어 출력되는 센서신호)은 각기 다르다.Since the measurement area is different, even if one movement occurs in the measurement object area (○), the PIR sensors 110-1, 110-2, 110-3, and 110-4 constituting the PIR cluster 110 are included. Are different from each other (ie, sensor signals generated and output from the PIR sensors 110-1, 110-2, 110-3, and 110-4).
1) 도 4는 측정 대상 영역(○)을 사용자가 "→" 방향으로 진입한 경우, PIR 센서들(110-1, 110-2, 110-3 및 110-4)에서 생성되어 출력되는 센서신호들을 나타낸 그래프이고,1) FIG. 4 illustrates a sensor signal generated and output by the PIR sensors 110-1, 110-2, 110-3, and 110-4 when the user enters the measurement target area ○ in the direction of "→". Is a graph showing
2) 도 5는 측정 대상 영역(○)을 사용자가 "←" 방향으로 진입한 경우, PIR 센서들(110-1, 110-2, 110-3 및 110-4)에서 생성되어 출력되는 센서신호들을 나타낸 그래프이며,2) FIG. 5 illustrates a sensor signal generated and output by the PIR sensors 110-1, 110-2, 110-3, and 110-4 when the user enters the measurement target area ○ in a direction ←. Is a graph showing
3) 도 6은 측정 대상 영역(○)을 사용자가 "↑" 방향으로 진입한 경우, PIR 센서들(110-1, 110-2, 110-3 및 110-4)에서 생성되어 출력되는 센서신호들을 나타낸 그래프이고,3) FIG. 6 illustrates a sensor signal generated and output by the PIR sensors 110-1, 110-2, 110-3, and 110-4 when the user enters the measurement target area ○ in the direction of "↑". Is a graph showing
4) 도 7은 측정 대상 영역(○)을 사용자가 "↓" 방향으로 진입한 경우, PIR 센서들(110-1, 110-2, 110-3 및 110-4)에서 생성되어 출력되는 센서신호들을 나타낸 그래프이다.4) FIG. 7 illustrates a sensor signal generated and output by the PIR sensors 110-1, 110-2, 110-3, and 110-4 when the user enters the measurement target area ○ in the direction of “↓”. This is a graph.
도 4 내지 도 7 각각에 도시된 바와 같이, 측정 대상 영역(○) 내에서 하나의 움직임에 대해, PIR 클러스터(110)는 각기 다른 4개의 센서 신호들을 발생시킴을 확인할 수 있다.As shown in each of FIGS. 4 to 7, it can be seen that for one movement in the measurement target area (○), the PIR cluster 110 generates four different sensor signals.
도 8은 본 발명의 바람직한 실시예에 따른 이동정보 추정 장치의 블럭도이다. 도 8에 도시된 바와 같이, 본 실시예에 따른 이동정보 추정 장치는, PIR 클러스터(110), 신호처리부(120), 프로세서(130) 및 저장부(140)를 구비한다.8 is a block diagram of a motion information estimating apparatus according to a preferred embodiment of the present invention. As shown in FIG. 8, the apparatus for estimating motion information according to the present embodiment includes a PIR cluster 110, a signal processor 120, a processor 130, and a storage 140.
PIR 클러스터(110)는 전술한 바와 같이, 대상 영역에서의 움직임에 대해 각기 다르게 반응하도록 설계된 PIR 센서들(110-1, 110-2, 110-3 및 110-4)을 구비한다.The PIR cluster 110 has PIR sensors 110-1, 110-2, 110-3, and 110-4 designed to react differently to movement in the target area, as described above.
신호처리부(120)는 PIR 센서들(110-1, 110-2, 110-3 및 110-4)에서 출력되는 센서 신호들에 대한 신호처리를 수행한다. 신호처리부(120)에서 수행되는 신호처리는 증폭, 노이즈 제거, A/D 변환 등이 포함된다.The signal processor 120 performs signal processing on sensor signals output from the PIR sensors 110-1, 110-2, 110-3, and 110-4. Signal processing performed by the signal processor 120 includes amplification, noise removal, A / D conversion, and the like.
프로세서(130)는 학습 모드와 추정 모드 2가지로 동작하는 바, 이하에서 하나씩 상세히 설명한다.The processor 130 operates in two modes, a learning mode and an estimation mode, which will be described in detail below.
학습 모드는, PIR 클러스터(110)의 측정 대상 영역에 각기 다른 패턴의 움직임을 발생시키고, PIR 센서들(110-1, 110-2, 110-3 및 110-4)에서 측정되어 생성/출력되는 센서신호들을 이동정보에 매칭시켜 저장부(140)에 DB화하여 저장하는 모드이다.The learning mode generates different patterns of movement in the measurement target region of the PIR cluster 110, and is measured / generated by the PIR sensors 110-1, 110-2, 110-3, and 110-4. In this mode, the sensor signals are matched with the movement information and stored in a DB in the storage unit 140.
여기서, 이동정보는, 이동방향, 이동거리, 이동속도 및 이동높이 등을 포함한다. 만약, 이동방향을 4가지(→,←,↑,↓), 이동거리를 3가지(장, 중, 단), 이동속도를 3가지(빠름, 보통, 느림), 이동높이(이동체의 높이)를 3가지(높음, 낮음)으로 구분한다면, 이동정보 패턴은 72(=4×3×3×2)가지이다.Here, the movement information includes a moving direction, a moving distance, a moving speed and a moving height. If there are four movement directions (→, ←, ↑, ↓), three movement distances (long, medium, and short), three movement speeds (fast, normal and slow), and moving heights (height of moving body) If is divided into three (high, low), the movement information pattern is 72 (= 4 × 3 × 3 × 2).
이에, 학습 모드에서 생성되는 DB의 엔트리는 72개이며, 하나의 엔트리에 4개의 센서신호 패턴이 수록되므로, DB에는 총 288개의 센서신호 패턴이 수록되게 된다. DB에 수록되는 센서신호는 수차례에 걸친 학습 결과의 평균으로 구현 가능하다.Thus, since there are 72 entries of the DB generated in the learning mode, four sensor signal patterns are stored in one entry, so that a total of 288 sensor signal patterns are stored in the DB. The sensor signal contained in the DB can be implemented as an average of several learning results.
추정 모드는, 대상 영역에서 발생한 움직임을 나타내는 이동정보를 추정하는 모드이다. 이동정보 추정에는 학습 모드에서 저장부(140)에 저장된 DB가 참조된다.The estimation mode is a mode for estimating movement information indicating a motion occurring in the target area. The DB stored in the storage 140 in the learning mode is referred to the movement information estimation.
구체적으로, 프로세서(130)는 PIR 센서들(110-1, 110-2, 110-3 및 110-4)의 측정 결과인 센서신호들의 패턴들에 매칭된 이동정보를, 학습 모드에서 저장부(140)에 저장된 DB를 검색하는 과정에 의해 이동정보 추정이 이루어진다.In detail, the processor 130 stores movement information matched to patterns of sensor signals that are the measurement results of the PIR sensors 110-1, 110-2, 110-3, and 110-4 in the learning mode. Movement information estimation is performed by searching the DB stored in 140.
즉, 추정 모드에서, 프로세서(130)는 PIR 센서들(110-1, 110-2, 110-3 및 110-4)의 측정 결과들을 조합하여, 학습 모드에서 저장부(140)에 저장해 놓은 DB를 바탕으로 대상 영역 내에서 발생한 움직임에 대한 이동정보를 추정한다고 할 수 있다.That is, in the estimation mode, the processor 130 combines the measurement results of the PIR sensors 110-1, 110-2, 110-3, and 110-4, and stores the DB stored in the storage 140 in the learning mode. Based on this, it can be said to estimate the movement information about the movement occurring in the target area.
지금까지, 이동정보 추정 장치 및 그에 적용가능한 PIR 클러스터(110)에 대해 상세히 설명하였다.So far, the apparatus for estimating motion information and the PIR cluster 110 applicable thereto have been described in detail.
위 실시예에서 언급한 PIR 센서는 움직임을 감지하는 센서의 일종으로, 일반 적외선 센서는 물론 다른 종류의 움직임 감지 센서로 대체가능함은 물론이다.The PIR sensor mentioned in the above embodiment is a kind of sensor for detecting a motion, and of course, the PIR sensor may be replaced with a general infrared sensor as well as other types of motion detection sensors.
또한, PIR 클러스터(110)를 구성하는 PIR 센서들의 개수를 4개로 상정하였는데, 이는 설명의 편의를 위해 든 예들에 불과하다. 즉, PIR 클러스터(110)를 구성하는 PIR 센서들의 개수는 2개, 3개 또는 5개 이상으로도 가능하며, 이는 선택의 문제이다.In addition, the number of PIR sensors constituting the PIR cluster 110 is assumed to be four, which is merely an example for convenience of description. That is, the number of PIR sensors constituting the PIR cluster 110 may be two, three or five or more, which is a matter of choice.
PIR 센서 커버의 개방 방향들이 이루는 각도들은, PIR 센서들의 개수가 늘어날수록 감소하고, PIR 센서들의 개수가 줄어들수록 감소하게 된다. 따라서, PIR 센서들의 개수가 늘어나면 이동정보를 보다 정밀하게 추정할 수 있게 되지만, 이는 학습량과 DB를 증대시키게 되므로, PIR 센서들의 개수를 적정하게 선정하는 것이 중요하다.The angles formed by the opening directions of the PIR sensor cover decrease as the number of PIR sensors increases, and decrease as the number of PIR sensors decreases. Therefore, as the number of PIR sensors increases, it is possible to estimate the movement information more precisely. However, since this increases the learning amount and the DB, it is important to appropriately select the number of PIR sensors.
한편, 위 실시예에서 PIR 센서 커버의 개방 방향들(측정 영역들)은 방사형인 것을 상정하였으나, 이는 설명의 편의를 위한 예시적인 것으로 다르게 구현 가능하다. 예를 들어, PIR 센서-1(110-1)은 상부 영역을 측정하고, PIR 센서-2(110-2)는 하부 영역을 측정하며, PIR 센서-3(110-3)은 좌측 영역을 측정하고, PIR 센서-4(110-4)은 우측 영역을 측정하도록 변형하는 경우도, 본 발명의 기술적 사상이 적용가능하다.Meanwhile, in the above embodiment, it is assumed that the opening directions (measurement areas) of the PIR sensor cover are radial, but this is merely illustrative and can be implemented differently. For example, PIR sensor-1 110-1 measures the upper region, PIR sensor-2 110-2 measures the lower region, and PIR sensor-3 110-3 measures the left region. In addition, even when the PIR sensor-4 110-4 is deformed to measure the right region, the technical idea of the present invention is applicable.
또한, 이상에서는 본 발명의 바람직한 실시예에 대하여 도시하고 설명하였지만, 본 발명은 상술한 특정의 실시예에 한정되지 아니하며, 청구범위에서 청구하는 본 발명의 요지를 벗어남이 없이 당해 발명이 속하는 기술분야에서 통상의 지식을 가진자에 의해 다양한 변형실시가 가능한 것은 물론이고, 이러한 변형실시들은 본 발명의 기술적 사상이나 전망으로부터 개별적으로 이해되어져서는 안될 것이다.In addition, although the preferred embodiment of the present invention has been shown and described above, the present invention is not limited to the specific embodiments described above, but the technical field to which the invention belongs without departing from the spirit of the invention claimed in the claims. Of course, various modifications can be made by those skilled in the art, and these modifications should not be individually understood from the technical spirit or the prospect of the present invention.

Claims (8)

  1. 대상 영역 내의 서로 다른 측정 영역들에서 움직임을 측정하는 센서들; 및Sensors for measuring movement in different measurement areas within the target area; And
    상기 센서들의 측정 결과들을 조합하여, 상기 대상 영역 내에서 발생한 이동정보를 추정하는 프로세서;를 포함하는 것을 특징으로 하는 이동정보 추정 장치.And a processor which combines the measurement results of the sensors to estimate movement information generated in the target area.
  2. 제 1항에 있어서,The method of claim 1,
    상기 측정 결과들이 상기 이동정보에 매칭되어 DB로 저장된 저장부;를 더 포함하고,The storage result is matched with the movement information and stored in the DB; further includes,
    상기 프로세서는,The processor,
    상기 저장부에 저장된 DB에서 상기 측정 결과에 매칭된 상기 이동정보를 검색하여, 상기 이동정보를 추정하는 것을 특징으로 하는 이동정보 추정 장치.And moving information matched with the measurement result from the DB stored in the storage unit to estimate the moving information.
  3. 제 1항에 있어서,The method of claim 1,
    상기 DB는,The DB,
    각기 다른 움직임에 따라 발생하는 측정 결과들을 학습하여 생성한 것을 특징으로 하는 이동정보 추정 장치.The apparatus for estimating movement information, characterized by learning by generating measurement results generated according to different movements.
  4. 제 1항에 있어서,The method of claim 1,
    상기 이동정보는,The movement information,
    이동방향, 이동거리, 이동속도 및 이동높이 중 적어도 하나를 포함하는 것을 특징으로 하는 이동정보 추정 장치.And at least one of a moving direction, a moving distance, a moving speed, and a moving height.
  5. 제 1항에 있어서,The method of claim 1,
    상기 센서들은,The sensors,
    상기 서로 다른 측정 영역들에 적외선을 조사 후 감지하도록 커버의 일부가 각기 다르게 가려진 것을 특징으로 하는 이동정보 추정 장치.And a part of the cover is differently covered so as to detect and irradiate infrared rays to the different measurement areas.
  6. 제 1항에 있어서,The method of claim 1,
    상기 측정 영역들은,The measurement areas,
    일부 영역이 서로 중복되는 것을 특징으로 하는 이동정보 추정 장치.The apparatus for estimating movement information, wherein some regions overlap each other.
  7. 제 6항에 있어서,The method of claim 6,
    상기 측정 영역들은,The measurement areas,
    중앙 영역이 서로 중복되는 방사(放射) 형태로 배치되는 것을 특징으로 하는 이동정보 추정 장치.The mobile information estimation device, characterized in that the central region is arranged in the form of radiation overlapping each other.
  8. 대상 영역 내의 서로 다른 측정 영역들에서 움직임을 측정하는 단계; 및Measuring motion in different measurement areas within the target area; And
    상기 측정 단계에서의 측정 결과들을 조합하여, 상기 대상 영역 내에서 발생한 이동정보를 추정하는 단계;를 포함하는 것을 특징으로 하는 이동정보 추정 방법.Estimating movement information generated in the target area by combining the measurement results in the measuring step.
PCT/KR2013/004444 2012-12-17 2013-05-21 Method and device for estimating travel information through combination of measured results on motion by region WO2014098327A1 (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
KR10-2012-0147139 2012-12-17
KR20120147139A KR101492061B1 (en) 2012-12-17 2012-12-17 Method and Apparatus for Estimating Movement Information by Combination of Movement Sensing Results in Segmentation Regions

Publications (1)

Publication Number Publication Date
WO2014098327A1 true WO2014098327A1 (en) 2014-06-26

Family

ID=50978614

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/KR2013/004444 WO2014098327A1 (en) 2012-12-17 2013-05-21 Method and device for estimating travel information through combination of measured results on motion by region

Country Status (2)

Country Link
KR (1) KR101492061B1 (en)
WO (1) WO2014098327A1 (en)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR101877114B1 (en) * 2016-05-12 2018-07-10 전자부품연구원 User Behavior Recognition Method and Apparatus using the Passive Sensing Scheme

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR100646347B1 (en) * 2005-06-29 2006-11-23 주식회사 팬택 Mobile telecommunication terminal for providing menu selection function by using movement recognition sensor
JP2012013422A (en) * 2010-06-29 2012-01-19 Yazaki Corp Moving direction determining device

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR100646347B1 (en) * 2005-06-29 2006-11-23 주식회사 팬택 Mobile telecommunication terminal for providing menu selection function by using movement recognition sensor
JP2012013422A (en) * 2010-06-29 2012-01-19 Yazaki Corp Moving direction determining device

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
KIM, HYUN HEE ET AL.: "Performance Index for Sensor Arrangement ofPIR Sensor-based Indoor Location Aware System", JOURNAL OF THE KOREAN SOCIETY OF PRECISION ENGINEERING, vol. 24, no. 6, June 2007 (2007-06-01), pages 37 - 44 *
LEE, SEON U ET AL.: "A Wireless Sensor Network Systems to Identify User and Detect Location Transition for Smart Home", JOURNAL OF INFORMATION SCIENCE : INFO-COMMUNICATIONS, vol. 37, no. 5, October 2010 (2010-10-01), pages 396 - 402 *

Also Published As

Publication number Publication date
KR101492061B1 (en) 2015-02-11
KR20140091786A (en) 2014-07-23

Similar Documents

Publication Publication Date Title
CA2884160C (en) Room occupancy sensing apparatus and method
WO2011059127A1 (en) Infrared sensor and sensing method using the same
CN106600777A (en) Infrared array number-of-personnel sensor-based counting method and apparatus
AU2009237932A1 (en) Position-monitoring device for persons
WO2019031701A1 (en) Multiple lidar system and driving method thereof
JP2001074855A (en) Apparatus and system for specifying action information
WO2022014851A1 (en) Lidar system capable of setting detection area
WO2017135628A1 (en) Device for automatic ventilation and air conditioning and method for controlling same
WO2014098327A1 (en) Method and device for estimating travel information through combination of measured results on motion by region
WO2023113058A1 (en) Drone control method for precise landing
WO2021167312A1 (en) Touch recognition method and device having lidar sensor
WO2016137047A1 (en) People counting system and method
WO2020242102A1 (en) Apparatus and method for non-contact measuring momentum by using ir-uwb radar
WO2012134004A1 (en) Apparatus for detecting human body with improved accuracy
JP2003227873A (en) Monitoring system
EP3492416B1 (en) Elevator group management for occupant evacuation
JP2007315948A (en) Object detector and its method
JP4002365B2 (en) Combined monitoring device
CN212245788U (en) Non-contact elevator button panel
JPH0658307B2 (en) Plant abnormality inspection device
WO2013048098A1 (en) System for controlling lighting and air-conditioning
CN106920366A (en) A kind of tumble detection method for human body, apparatus and system
CN208602495U (en) Train wheelbase detection system
EP2709080A1 (en) Room occupancy sensing apparatus and method
JPH03219394A (en) Detecting device for number of persons and fire

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 13864652

Country of ref document: EP

Kind code of ref document: A1

NENP Non-entry into the national phase

Ref country code: DE

122 Ep: pct application non-entry in european phase

Ref document number: 13864652

Country of ref document: EP

Kind code of ref document: A1