VIDEO ANALYSIS SYSTEM

• US 20170011529A1
• Filed: 02/05/2015
• Published: 01/12/2017
• Est. Priority Date: 02/14/2014
• Status: Abandoned Application

• Current Assignee: NEC Corporation
• Original Assignee: NEC Corporation
• Inventors: URASHITA, Keiichi
• Application Number:
  US15/117,814
• Publication Number:
  US 20170011529A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06T 2207/10016 Video; Image sequence
• CPC Class Codes: G06T 2207/20008 Globally adaptive
• CPC Class Codes: G06T 5/00 Image enhancement or restoration
• CPC Class Codes: G06T 5/20 using local operators
• CPC Class Codes: G06T 7/136 involving thresholding
• CPC Class Codes: G06T 7/254 involving subtraction of images
• CPC Class Codes: G06V 20/52 Surveillance or monitoring of activities, e.g. for recognising suspicious objects recognising microscopic objects G06V20/69

Abstract

A video analysis system includes: a video data acquiring means that acquires video data; a moving object detecting means that detects a moving object from video data acquired by the video data acquiring means, by using a moving object detection parameter, which is a parameter for detecting a moving object; an environment information collecting means that collects environment information representing an external environment of a place where the video data acquiring means is installed; and a parameter changing means that changes the moving object detection parameter used when the moving object detecting means detects a moving object, on the basis of the environment information collected by the environment information collecting means.

Claims

1-21. -21. (canceled)

22. A video analysis device comprising at least one processor configured to:

acquire video data from an external device, the video data having been acquired by the external device;

detect a moving object from video data by using a moving object detection parameter, the video data having been acquired by the processor, the moving object detection parameter being a parameter for detecting a moving object;

collect environment information representing an external environment of a place where the external device having acquired the video data is installed; and

change the moving object detection parameter on a basis of the environment information collected by the processor, the moving object detection parameter being used when the processor detects the moving object.

23. The video analysis device according to claim 22, wherein:

the processor is configured to detect the moving object by obtaining a difference of image data extracted from the video data and includes a sensitivity threshold as one of moving object detection parameters, the sensitivity threshold being a predetermined threshold to become a criterion for recognizing a disparity between image data of a previous frame and image data of a current frame; and

the processor is configured to change the sensitivity threshold on a basis of the environment information of the place where the external device having acquired the video data is installed, the sensitivity threshold being one of the moving object detection parameters.

24. The video analysis device according to claim 22, wherein:

the processor is configured to use a predetermined filter when detecting the moving object from the video data and includes a moving object distinction threshold as one of moving object detection parameters, the predetermined filter being for removing a moving object other than a detection target object from a detection target, the detection target object being a target to be detected, the moving object distinction threshold being a predetermined threshold used when the predetermined filter distinguishes the detection target object from the moving object other than the detection target object; and

the processor is configured to change the moving object distinction threshold on a basis of the environment information of the place where the external device having acquired the video data is installed, the moving object distinction threshold being one of the moving object detection parameters.

25. The video analysis device according to claim 24, wherein:

the processor is configured to use a reciprocating object removal filter when detecting the moving object from the video data and includes a reciprocating object removal threshold as one of the moving object distinction parameters, the reciprocating object removal filter being configured to regard a reciprocating object as the moving object other than the detection target object and remove the reciprocating object from the detection target, the reciprocating object performing predetermined reciprocation, the predetermined reciprocation being a repetitive movement, the reciprocating object removal threshold being a threshold used when the reciprocating object removal filter distinguishes the detection target object from the reciprocating object; and

the processor is configured to change the reciprocating object removal threshold on a basis of the environment information of the place where the external device having acquired the video data is installed, the reciprocating object removal threshold being one of the moving object detection parameters.

26. The video analysis device according to claim 25, wherein:

the processor is configured to collect wind speed information as the environment information, the wind speed information representing a wind speed; and

the processor is configured to change the reciprocating object removal threshold in accordance with the wind speed represented by the wind speed information collected by the processor, the reciprocating object removal threshold being one of the moving object detection parameters.

27. The video analysis device according to claim 24, wherein:

the processor is configured to use a shadow removal filter when detecting the moving object from the video data and includes a shadow removal threshold as one of the moving object distinction parameters, the shadow removal filter being configured to regard a predetermined shadow as the moving object other than the detection target object and remove the predetermined shadow from the detection target, the shadow removal threshold being a threshold used when the shadow removal filter distinguishes the detection target object from the predetermined shadow; and

the processor is configured to change the shadow removal threshold on a basis of the environment information of the place where the external device having acquired the video data is installed, the shadow removal threshold being one of the moving object detection parameters.

28. The video analysis device according to claim 27, wherein:

the processor is configured to collect time information as the environment information, the time information representing time; and

the processor is configured to change the shadow removal threshold in accordance with the time represented by the time information collected by the processor, the shadow removal threshold being one of the moving object detection parameters.

29. The video analysis device according to claim 22, further comprising a storage configured to store a predetermined set of the moving object detection parameters as a parameter set, the predetermined set of the moving object detection parameters being corresponding to a possible external environment,

wherein the processor is configured to change the moving object detection parameters, on a basis of the environment information of the place where the external device having acquired the video data is installed, by using the parameter set corresponding to the external environment represented by the environment information.

30. The video analysis device according to claim 22, wherein the environment information is at least one of:

luminance;

time and date;

meteorological information; and

latitude and longitude.

31. A video analysis system comprising at least one processor configured to:

acquire video data;

detect a moving object from video data by using a moving object detection parameter, the video data having been acquired by the processor, the moving object detection parameter being a parameter for detecting a moving object;

collect environment information representing an external environment of a place where the processor is installed; and

change the moving object detection parameter on a basis of the environment information collected by the processor, the moving object detection parameter being used when the processor detects the moving object.

32. The video analysis system according to claim 31, wherein:

the processor is configured to detect the moving object by obtaining a difference of image data extracted from the video data and includes a sensitivity threshold as one of moving object detection parameters, the sensitivity threshold being a predetermined threshold to become a criterion for recognizing a disparity between image data of a previous frame and image data of a current frame; and

the processor is configured to change the sensitivity threshold on a basis of the environment information collected by the processor, the sensitivity threshold being one of the moving object detection parameters.

33. The video analysis system according to claim 31, wherein:

the processor is configured to use a predetermined filter when detecting the moving object from the video data and includes a moving object distinction threshold as one of moving object detection parameters, the predetermined filter being for removing a moving object other than a detection target object from a detection target, the detection target object being a target to be detected, the moving object distinction threshold being a predetermined threshold used when the predetermined filter distinguishes the detection target object from the moving object other than the detection target object; and

the processor is configured to change the moving object distinction threshold on a basis of the environment information collected by the processor, the moving object distinction threshold being one of the moving object detection parameters.

34. The video analysis system according to claim 33, wherein:

the processor is configured to use a reciprocating object removal filter when detecting the moving object from the video data and includes a reciprocating object removal threshold as one of the moving object distinction parameters, the reciprocating object removal filter being configured to regard a reciprocating object as the moving object other than the detection target object and remove the reciprocating object from the detection target, the reciprocating object performing predetermined reciprocation, the predetermined reciprocation being a repetitive movement, the reciprocating object removal threshold being a threshold used when the reciprocating object removal filter distinguishes the detection target object from the reciprocating object; and

the processor is configured to change the reciprocating object removal threshold on a basis of the environment information collected by the processor, the reciprocating object removal threshold being one of the moving object detection parameters.

35. The video analysis system according to claim 33, wherein:

the processor is configured to use a shadow removal filter when detecting the moving object from the video data and includes a shadow removal threshold as one of moving object distinction parameters, the shadow removal filter being configured to regard a predetermined shadow as the moving object other than the detection target object and remove the predetermined shadow from the detection target, the shadow removal threshold being a threshold used when the shadow removal filter distinguishes the detection target object from the predetermined shadow; and

the processor is configured to change the shadow removal threshold on a basis of the environment information collected by the processor, the shadow removal threshold being one of the moving object detection parameters.

36. The video analysis system according to claim 31, further comprising a storage configured to store a predetermined set of the moving object detection parameters as a parameter set, the predetermined set of the moving object detection parameters being corresponding to a possible external environment,

wherein the processor is configured to change the moving object detection parameters, on a basis of the environment information collected by the processor, by using the parameter set corresponding to the external environment represented by the environment information.

37. The video analysis system according to claim 31, wherein the environment information is at least one of:

luminance;

time and date;

meteorological information; and

latitude and longitude.

38. A video analysis method comprising:

collecting environment information and changing a moving object detection parameter on a basis of the collected environment information, the environment information representing an external environment of a place where an external device acquiring video data is installed, the moving object detection parameter being used when detecting a moving object from the video data; and

detecting the moving object from the video data by using the changed moving object detection parameter, the video data being acquired from the external device.

39. The video analysis method according to claim 38, comprising:

changing a sensitivity threshold on a basis of the environment information of the place where the external device acquiring the video data is installed, the sensitivity threshold being used as one of moving object detection parameters, the sensitivity threshold being a predetermined threshold to become a criterion for recognizing a disparity between image data of a previous frame and image data of a current frame; and

obtaining a difference of image data extracted from the video data by using the changed sensitivity threshold, and detecting the moving object.

40. The video analysis method according to claim 39, comprising:

changing a moving object distinction threshold on a basis of the environment information of the place where the external device acquiring the video data is installed, the moving object distinction threshold being used as one of the moving object detection parameters, the moving object distinction threshold being a predetermined threshold used when distinguishing a detection target object from a moving object other than the detection target object, the detection target object being a target to be detected; and

by using the changed moving object distinction threshold, removing the moving object other than the detection target object from a detection target when detecting the moving object from the video data.

41. The video analysis method according to claim 38, wherein the environment information is at least one of:

luminance;

time and date;

meteorological information; and

latitude and longitude.