Target object identifying device, target object identifying method and target object identifying program

• US 10,430,666 B2
• Filed: 01/31/2014
• Issued: 10/01/2019
• Est. Priority Date: 03/29/2013
• Status: Active Grant

• Current Assignee: NEC Corporation
• Original Assignee: NEC Corporation
• Inventors: Koyama, Kazuya, Arikuma, Takeshi
• Primary Examiner(s): Azima, Shaghayegh
• Application Number:
  US14/765,621
• Publication Number:
  US 20150371403A1
• Time in Patent Office: 2,069 Days
• CPC Class Codes: G06T 2207/10016 Video; Image sequence
• CPC Class Codes: G06T 2207/30201 Face
• CPC Class Codes: G06T 2207/30232 Surveillance
• CPC Class Codes: G06T 7/292 Multi-camera tracking
• CPC Class Codes: G06V 20/52 Surveillance or monitoring of activities, e.g. for recognising suspicious objects recognising microscopic objects G06V20/69
• CPC Class Codes: G06V 20/53 Recognition of crowd images, e.g. recognition of crowd congestion
• CPC Class Codes: G06V 40/10 Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
• CPC Class Codes: G06V 40/172 Classification, e.g. identification
• CPC Class Codes: G06V 40/173 face re-identification, e.g. recognising unknown faces across different face tracks

Abstract

Monitoring target matching means 71 matches monitoring targets shown in video captured by one or more imaging devices, and identifies monitoring targets estimated to be the same monitoring target, as an identified monitoring target. Target object identifying means 72 identifies a desired target object from one or more identified monitoring targets captured, using imaging times of each of the one or more identified monitoring targets.

Claims

1. A target object identifying device comprising:

a processor;

a non-transitory computer-readable data storage medium storing computer-executable code that the processor executes to;

match monitoring targets shown in video captured by one or more imaging devices, identify monitoring targets estimated to be the same monitoring target, as an identified monitoring target, and identify other monitoring targets estimated to be different monitoring targets and responsively add the other monitoring targets within a first storage device upon which basis further matching of additional monitoring targets is performed;

identify a desired target object from one or more identified monitoring targets, using imaging times of each of the one or more identified monitoring targets, the desired target being a suspicious person or object; and

store the identified desired target object within a second storage device, wherein the desired target object is identified as the identified monitoring target whose frequency of monitoring target imaging information with an imaging time in a predetermined period is greater than or equal to a predetermined threshold,

wherein the desired target object is identified as the identified monitoring target whose time width between an earliest imaging time and a latest imaging time, among time widths between imaging times in a predetermined period, is greater than or equal to a predetermined threshold specified by a determination condition,

wherein the processor executes the computer-executable code to further generate the determination condition for specifying a condition of the time width between the earliest imaging time and the latest imaging time, based on imaging times of monitoring targets not identified as the desired target object.

2. The target object identifying device according to claim 1, wherein the desired target object is identified based on the determination condition for specifying, for each imaging device, a condition of the time width between the earliest imaging time and the latest imaging time.

3. The target object identifying device according to claim 1, wherein the desired target object is identified as the identified monitoring target whose time width between the successive imaging times meets the determination condition between imaging devices.

4. The target object identifying device according to claim 1, wherein the desired target object is identified based on a determination condition for specifying, for each imaging device, a frequency of imaging times of the identified monitoring target included in a predetermined period.

5. The target object identifying device according to claim 4, wherein the desired target object is identified based on a determination condition for specifying, for each predetermined imaging device group, the frequency of the imaging times of the identified monitoring target included in the predetermined period.

6. The target object identifying device according to claim 4, wherein the processor is to calculates a likelihood of the monitoring targets estimated to be the same monitoring target, and

wherein the desired target object is identified based on the frequency calculated based on the likelihood.

7. The target object identifying device according to claim 1, wherein the processor is to match face images extracted from the video captured by the one or more imaging devices, and identifies monitoring targets estimated to be the same person.

8. A target object identifying method comprising:

matching monitoring targets shown in video captured by one or more imaging devices, identifying monitoring targets estimated to be the same monitoring target, as an identified monitoring target, and identifying other monitoring targets estimated to be different monitoring targets and responsively adding the other monitoring targets within a first storage device upon which basis further matching of additional monitoring targets is performed;

identifying a desired target object from one or more identified monitoring targets, using imaging times of each of the one or more identified monitoring targets, the desired target being a suspicious person or object; and

storing the identified desired target object within a second storage device, wherein the identified monitoring target whose frequency of monitoring target imaging information with an imaging time in a predetermined period is greater than or equal to a predetermined threshold is identified as the target object,

wherein the desired target object is identified as the identified monitoring target whose time width between an earliest imaging time and a latest imaging time, among time widths between imaging times in a predetermined period, is greater than or equal to a predetermined threshold specified by a determination condition,

wherein the method further comprises generating the determination condition for specifying a condition of the time width between the earliest imaging time and the latest imaging time, based on imaging times of monitoring targets not identified as the desired target object.

9. A non-transitory computer readable information recording medium storing a target object identifying program, when executed by a processor, that performs a method for:

matching monitoring targets shown in video captured by one or more imaging devices, identifying monitoring targets estimated to be the same monitoring target, as an identified monitoring target, and identifying other monitoring targets estimated to be different monitoring targets and responsively adding the other monitoring targets within a first storage device upon which basis further matching of additional monitoring targets is performed;

identifying a desired target object from one or more identified monitoring targets, using imaging times of each of the one or more identified monitoring targets, the desired target being a suspicious person or object; and

storing the identified desired target object within a second storage device, wherein the identified monitoring target whose frequency of monitoring target imaging information with an imaging time in a predetermined period is greater than or equal to a predetermined threshold is identified as the target object,

wherein the desired target object is identified as the identified monitoring target whose time width between an earliest imaging time and a latest imaging time, among time widths between imaging times in a predetermined period, is greater than or equal to a predetermined threshold specified by a determination condition,

wherein the method further comprises generating the determination condition for specifying a condition of the time width between the earliest imaging time and the latest imaging time, based on imaging times of monitoring targets not identified as the desired target object.