Information processing apparatus, information processing method, and program

Patent metadata

Field	Value
Publication number	US-10997422-B2
Application number	US-201916374082-A
Country	US
Kind code	B2
Filing date	Apr 3, 2019
Priority date	Jan 29, 2016
Publication date	May 4, 2021
Grant date	May 4, 2021

Abstract

An information processing apparatus ( 10 ) includes a time and space information acquisition unit ( 110 ) that acquires high-risk time and space information indicating a spatial region with an increased possibility of an accident occurring or of a crime being committed and a corresponding time slot, a possible surveillance target acquisition unit ( 120 ) that identifies a video to be analyzed from among a plurality of videos generated by capturing an image of each of a plurality of places, on the basis of the high-risk time and space information, and analyzes the identified video to acquire information of a possible surveillance target, and a target time and space identification unit ( 130 ) that identifies at least one of a spatial region where surveillance is to be conducted which is at least a portion of the spatial region or a time slot when surveillance is to be conducted, from among the spatial region and the time slot indicated by the high-risk time and space information, on the basis of the information of the possible surveillance target.

First claim

The invention claimed is:

1. An information processing system comprising:
at least one memory storing instructions; and
at least one processor coupled to the at least one memory, the at least one processor being configured to execute the instructions to:
perform detection of possible surveillance targets and possible victims on each of a plurality of videos generated by capturing each of a plurality of places, the plurality of places being respectively associated with at least any of: priorities for surveillance; and time slots for which surveillance work shall be performed, the possible surveillance targets being persons or vehicles which are likely to cause a crime or an accident, the possible victims being persons who have a feature matching a feature of a typical victim of the crime or the accident; and
adjust at least any of: degree of at least one of the priorities; and a length of at least one of the time slots, based on relation between a number of possible surveillance targets and a number of possible victims, wherein
the detection comprises:
detecting the possible surveillance targets by using information about persons under surveillance who relates to crimes or accidents that have occurred before; and
detecting the possible victims by using template information indicating the typical victim of the crime or the accident, the template information having been generated based on statistics of victims of crimes or accidents that have occurred before.

2. An information processing system comprising:
at least one memory storing instructions; and
at least one processor coupled to the at least one memory, the at least one processor being configured to execute the instructions to:
perform detection of possible surveillance targets and possible victims on each of a plurality of videos generated by capturing each of a plurality of places, the plurality of places being respectively associated with at least any of: priorities for surveillance; and time slots for which surveillance work shall be performed, the possible surveillance targets being persons or vehicles which are likely to cause a crime or an accident, the possible victims being persons who have a feature matching a feature of a typical victim of the crime or the accident; and
adjust at least any of: degree of at least one of the priorities; and a length of at least one of the time slots, based on relation between a number of possible surveillance targets and a number of possible victims, wherein
the plurality of places are respectively associated with the priorities, and
the at least one processor is further configured to adjust the at least one of the priorities that is associated with at least one place in which a risk based on the relation is determined to be high such that degree of priority associated with the at least one place become higher.

3. An information processing system comprising:
at least one memory storing instructions; and
at least one processor coupled to the at least one memory, the at least one processor being configured to execute the instructions to:
perform detection of possible surveillance targets and possible victims on each of a plurality of videos generated by capturing each of a plurality of places, the plurality of places being respectively associated with at least any of: priorities for surveillance; and time slots for which surveillance work shall be performed, the possible surveillance targets being persons or vehicles which are likely to cause a crime or an accident, the possible victims being persons who have a feature matching a feature of a typical victim of the crime or the accident; and
adjust at least any of: degree of at least one of the priorities; and a length of at least one of the time slots, based on relation between a number of possible surveillance targets and a number of possible victims, wherein
the plurality of places are respectively associated with the time slots for which surveillance work shall be performed, and
the at least one processor is further configured to adjust the at least one of the priorities that is associated with at least one place in which a risk based on the relation is determined to be high such that length of a time slot associated with the at least one place become longer.

4. An information processing method comprising:
performing detection of possible surveillance targets and possible victims on each of a plurality of videos generated by capturing each of a plurality of places, the plurality of places being respectively associated with at least any of: priorities for surveillance; and time slots for which surveillance work shall be performed, the possible surveillance targets being persons or vehicles which are likely to cause a crime or an accident, the possible victims being persons who have a feature matching a feature of a typical victim of the crime or the accident; and
adjusting at least any of: degree of at least one of the priorities; and a length of at least one of the time slots, based on relation between a number of possible surveillance targets and a number of possible victims, wherein
the detection comprises:
detecting the possible surveillance targets by using information about persons under surveillance who relates to crimes or accidents that have occurred before; and
detecting the possible victims by using template information indicating the typical victim of the crime or the accident, the template information having been generated based on statistics of victims of crimes or accidents that have occurred before.

5. An information processing method comprising:
performing detection of possible surveillance targets and possible victims on each of a plurality of videos generated by capturing each of a plurality of places, the plurality of places being respectively associated with at least any of: priorities for surveillance; and time slots for which surveillance work shall be performed, the possible surveillance targets being persons or vehicles which are likely to cause a crime or an accident, the possible victims being persons who have a feature matching a feature of a typical victim of the crime or the accident; and
adjusting at least any of: degree of at least one of the priorities; and a length of at least one of the time slots, based on relation between a number of possible surveillance targets and a number of possible victims, wherein
the plurality of places are respectively associated with the priorities, and
the information processing method further comprising adjusting the at least one of the priorities that is associated with at least one place in which a risk based on the relation is determined to be high such that degree of priority associated with the at least one place become higher.

6. An information processing method comprising:
performing detection of possible surveillance targets and possible victims on each of a plurality of videos generated by capturing each of a plurality of places, the plurality of places being respectively associated with at least any of: priorities for surveillance; and time slots for which surveillance work shall be performed, the possible surveillance targets being persons or vehicles which are likely to cause a crime or an accident, the possible victims being persons who have a feature matching a feature of a typical victim of the crime or the accident; and
adjusting at least any of: degree of at least one of the priorities; and a length of at least one of the time slots, based on relation between a number of possible surveillance targets and a number of possible victims, wherein
the plurality of places are respectively associated with the time slots for which surveillance work shall be performed, and
the information processing method further comprising adjusting the at least one o

Assignees

• Nec Corp

Inventors

• Nakagawa Junko
• Oami Ryoma
• IDA Kenichiro
• Saito Mika
• NAGAHAMA Shohzoh
• Furukawa Akinari
• Ohtsuka Yasumasa
• Fukuda Junichi
• Ikeda Fumi
• Moriyama Manabu
• Einaga Fumie
• Yamagami Tatsunori
• Hirayama Keisuke
• KUMANO Yoshitsugu
• Adachi Hiroki

Classifications

• G06V20/41

  Higher-level, semantic clustering, classification or understanding of video scenes, e.g. detection, labelling or Markovian modelling of sport events or news items (segmenting video sequences G06V20/49) · CPC title

• G06V20/52 Primary

  Surveillance or monitoring of activities, e.g. for recognising suspicious objects (recognising microscopic objects G06V20/69) · CPC title

• G06V2201/07

  Target detection · CPC title

• G06V20/46

  Extracting features or characteristics from the video content, e.g. video fingerprints, representative shots or key frames · CPC title

• G06V2201/08

  Detecting or categorising vehicles · CPC title