Organism collating method and apparatus

• US 6,418,235 B1
• Filed: 09/07/1999
• Issued: 07/09/2002
• Est. Priority Date: 09/11/1998
• Status: Expired due to Fees

• Current Assignee: Omron Corporation
• Original Assignee: Omron Corporation
• Inventors: Yano, Hiroshi, Morimoto, Masaru, Adachi, Sumiaki, Kubo, Ichiro
• Primary Examiner(s): AHMED, SAMIR ANWAR
• Application Number:
  US09/391,241
• Time in Patent Office: 1,036 Days
• Field of Search: 382/115, 382/118, 382/190, 351/204, 704/246, 704/273, 348/161, 235/380, 235/382, 902/3, 902/4, 902/25, 340/5.53, 340/5.8, 340/5.81, 340/5.83, 705/1, 705/26, 705/42, 702/127
• US Class Current: 382/118
• CPC Class Codes: G06F 18/00 Pattern recognition
• CPC Class Codes: G06V 40/172 Classification, e.g. identification

Abstract

An organism collating device for collating concordance of an organism in dimension with characteristics of the registered organisms includes a storage means for storing attribute data classifying kinds of organisms relating to the characteristics of the organisms, an extraction means for extracting organism characteristics and attribute data from the organism, and a collation means for searching the organism characteristics stored in the storage means based the attribute data executed by the extraction means to collate the searched organism characteristics with the extracted organism characteristics for specifying an organism.

Claims

1. An organism identification device comprising:

a storage device which stores respective face data of a plurality of individual organisms in predefined organism classes, the location of an individual organism'"'"'s face data within a particular class being defined by non-facial attribute data of the individual organism;

a camera for taking a picture of an arriving organism and producing arrival organism face data;

a device for determining non-facial attribute data of said arriving organism; and

a collation device for determining which one of said predefined organism classes the arriving organism'"'"'s face data belongs to by evaluating the non-facial attribute data of said arriving organism and for comparing the face data of said arriving organism with stored face data within said determined class to identify the arriving organism.

5. An organism identification device according to claim 1 in which said attribute data includes a body weight of said arriving organism.

6. An organism identification device according to claim 1 in which said attribute data includes a shape of clothes worn by said arriving organism.

7. An organism identification device according to claim 1 in which said attribute data includes a color of clothes worn by said arriving organism.

8. An organism identification device according to claim 1 in which said attribute data includes an age of said arriving organism, wherein said age is an old age.

9. An organism identification device according to claim 1 in which said attribute data includes an age of said arriving organism, wherein said age is a late middle age.

10. An organism identification device according to claim 1 in which said attribute data includes an age of said arriving organism, wherein said age is a young age.

11. An organism identification device according to claim 1 in which said attribute data includes an age of said arriving organism, wherein said age is a child age.

12. An organism identification device according to claim 1 in which said evaluating the non-facial attribute data of said arriving organism includes considering the frequency with which a particular organism enters an area.

13. An organism identification device according to claim 1 in which said evaluating the non-facial attribute data of said arriving organism includes considering the frequency with which a particular organism exits an area.

14. An organism identification device according to claim 1, in which said attribute data is set to include a body height of an organism.

15. An organism identification device according to claim 1, in which said attribute data is set to an organism exiting from a specific area.

2. An organism identifying method comprising:

storing respective face data of a plurality of individual organisms in predefined organism classes, the location of an individual organism'"'"'s respective face data within a particular class being defined by non-facial attribute data of the individual organism;

taking a picture of a face of an arriving organism;

producing arrival organism face data;

determining non-facial attribute data of said arriving organism;

determining which one of said predefined organism classes the arriving organism'"'"'s face data belongs to by evaluating the non-facial attribute data of said arriving organism; and

comparing the face data of said arriving organism with stored face data within said determined class to identify the arriving organism.

16. An organism identifying method according to claim 2 wherein said evaluating the non-facial attribute data of said arriving organism is performed prior to said comparing the face data of said arriving organism with stored face data.

3. An organism identification device comprising:

a storage device which stores respective face data of a plurality of individual organisms in predefined organism classes, the location of an individual organism'"'"'s face data within a particular class being defined by non-facial attribute data of the individual organism;

a camera for taking a picture of a face and a body of an arriving organism and producing arrival organism face data and non-facial attribute data; and

a collation device for determining which one of said predefined organism classes the arriving organism'"'"'s face data belongs to by evaluating the non-facial attribute data of said arriving organism and for comparing the face data of said arriving organism with stored face data within said determined class to identify the arriving organism.

4. An organism identification method comprising:

storing respective face data of a plurality of individual organisms in predefined organism classes, the location of an individual organism'"'"'s face data within a particular class being defined by non-facial attribute data of the individual organism;

taking a picture of a face and a body of an arriving organism and producing arrival organism face data and non-facial attribute data;

determining which one of said predefined organism classes the arriving organism'"'"'s face data belongs to by evaluating said non-facial attribute data of said arriving organism; and

comparing the face data of said arriving organism with stored face data within said determined class to identify the arriving organism.