IP Library › Granted Patent US 10,706,515
Granted Patent B2
US 10,706,515 · App. 16/354,372 · Granted Jul 7, 2020

Shadow removal video analysis system

Inventor: Keiichi Urashita (Tokyo, JP)
Assignee: NEC CORPORATION
G06T5/20G06K9/00771G06T5/001G06T7/254G06T7/136G06T2207/10016G06T2207/20008
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Quick Facts
Patent No.
US 10,706,515
App. No.
16/354,372
Granted
Jul 7, 2020
Kind
B2
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 (38)

1. A video analysis system comprising:

at least one memory storing instructions; and

at least one processor executing the instructions to perform;

acquiring video data acquired at a predetermined location;

detecting a moving object from the video data by using a moving object detection parameter, the moving object detection parameter being a parameter for detecting a moving object; and

collecting environment information for specifying one or more causes making a shadow; wherein

the at least one processor further performs;

removing the shadow from the moving object, using a shadow removal threshold to distinguish the moving object from the shadow; and

changing the shadow removal threshold representing a length or a density of the shadow, in accordance with the environment information including information representing time or date.

2. The video analysis system according to claim 1 , wherein the shadow removal threshold represents an amount indicating a length or a density of the shadow.

3. The video analysis system according to claim 1 , wherein the environment information includes the time or the date when the video data is acquired.

4. The video analysis system according to claim 1 , wherein the environment information includes latitude and longitude where the video data is acquired.

5. The video analysis system according to claim 1 , wherein the environment information includes the weather when the video data is acquired.

6. The video analysis system according to claim 1 , wherein the environment information includes the luminance collected when the video data is acquired.

7. A video analysis method comprising:

acquiring video data acquired at a predetermined location;

detecting a moving object from the video data by using a moving object detection parameter, the moving object detection parameter being a parameter for detecting a moving object; and

collecting environment information for specifying one or more causes making a shadow; wherein

the at least one processor further performs;

removing the shadow from the moving object, using a shadow removal threshold to distinguish the moving object from the shadow; and

changing the shadow removal threshold representing a length or a density of the shadow, in accordance with the environment information including information representing time or date.

8. The video analysis method according to claim 7 , wherein the shadow removal threshold represents an amount indicating a length or a density of the shadow.

9. The video analysis method according to claim 7 , wherein the environment information includes the time or the date when the video data is acquired.

10. The video analysis method according to claim 7 , wherein the environment information includes latitude and longitude where the video data is acquired.

11. The video analysis method according to claim 7 , wherein the environment information includes the weather when the video data is acquired.

12. The video analysis method according to claim 7 , wherein the environment information includes the luminance collected when the video data is acquired.

13. A non-transitory computer-readable storage medium storing a program causing a computer to perform:

acquiring video data acquired at a predetermined location;

detecting a moving object from the video data by using a moving object detection parameter, the moving object detection parameter being a parameter for detecting a moving object; and

collecting environment information for specifying one or more causes making a shadow; wherein

the at least one processor further performs;

removing the shadow from the moving object, using a shadow removal threshold to distinguish the moving object from the shadow; and

changing the shadow removal threshold representing a length or a density of the shadow, in accordance with the environment information including information representing time or date.

14. The non-transitory computer-readable storage medium according to claim 13 , wherein the shadow removal threshold represents an amount indicating a length or a density of the shadow.

15. The non-transitory computer-readable storage medium according to claim 13 , wherein the environment information includes the time or the date when the video data is acquired.

16. The non-transitory computer-readable storage medium according to claim 13 , wherein the environment information includes latitude and longitude where the video data is acquired.

17. The non-transitory computer-readable storage medium according to claim 13 , wherein the environment information includes the weather when the video data is acquired.

18. The non-transitory computer-readable storage medium according to claim 13 , wherein the environment information includes the luminance collected when the video data is acquired.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Mar 15, 2019
From: URASHITA, KEIICHI
To: NEC CORPORATION
Reel/Frame 048607/0064 →
Priority Claims (1)
JP 2014-026465 · Feb 14, 2014 · national
Continuity (2)
Continuation 15117814
Related Publication 20190213721A1 · Jul 11, 2019
Cited By (1)
US 12,705,896