SG11201805830TA - Congestion-state-monitoring system - Google Patents
Congestion-state-monitoring systemInfo
- Publication number
- SG11201805830TA SG11201805830TA SG11201805830TA SG11201805830TA SG11201805830TA SG 11201805830T A SG11201805830T A SG 11201805830TA SG 11201805830T A SG11201805830T A SG 11201805830TA SG 11201805830T A SG11201805830T A SG 11201805830TA SG 11201805830T A SG11201805830T A SG 11201805830TA
- Authority
- SG
- Singapore
- Prior art keywords
- crowd
- people
- congestion
- congestion state
- camera video
- Prior art date
Links
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/20—Scenes; Scene-specific elements in augmented reality scenes
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/52—Surveillance or monitoring of activities, e.g. for recognising suspicious objects
- G06V20/53—Recognition of crowd images, e.g. recognition of crowd congestion
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/161—Detection; Localisation; Normalisation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/161—Detection; Localisation; Normalisation
- G06V40/166—Detection; Localisation; Normalisation using acquisition arrangements
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/172—Classification, e.g. identification
- G06V40/173—Classification, e.g. identification face re-identification, e.g. recognising unknown faces across different face tracks
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/40—Extraction of image or video features
- G06V10/48—Extraction of image or video features by mapping characteristic values of the pattern into a parameter space, e.g. Hough transformation
Landscapes
- Engineering & Computer Science (AREA)
- Multimedia (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Oral & Maxillofacial Surgery (AREA)
- Human Computer Interaction (AREA)
- Signal Processing (AREA)
- Image Analysis (AREA)
- Closed-Circuit Television Systems (AREA)
Abstract
A25 The present invention provides a system for visualizing the congestion degree of an entire facility using a monitoring camera. The system detects a crowd from a monitoring camera video and derives the magnitude (number of people) of the crowd from the edge amount thereof, and thereby estimates a congestion state in a range of camera video. The system also calculates a human flow (amount of movement of people) on the basis of a number of passing people counter and the magnitude and movement speed of the crowd, etc., and estimates the number of people in an area other than the range of camera video on the basis of a modeled crowd behavior pattern. The model is constructed by selecting a distribution function and a parameter thereof by a statistical model selection technique such as a Bayesian Information Criteria (BIC). The congestion state is plotted on a map, allowing the congestion state of an area of interest to be grasped at once.
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
PCT/JP2016/050610 WO2017122258A1 (en) | 2016-01-12 | 2016-01-12 | Congestion-state-monitoring system |
Publications (1)
Publication Number | Publication Date |
---|---|
SG11201805830TA true SG11201805830TA (en) | 2018-08-30 |
Family
ID=59310906
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
SG11201805830TA SG11201805830TA (en) | 2016-01-12 | 2016-01-12 | Congestion-state-monitoring system |
Country Status (4)
Country | Link |
---|---|
US (1) | US10346688B2 (en) |
JP (1) | JP6474919B2 (en) |
SG (1) | SG11201805830TA (en) |
WO (1) | WO2017122258A1 (en) |
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-
2016
- 2016-01-12 US US16/068,293 patent/US10346688B2/en active Active
- 2016-01-12 SG SG11201805830TA patent/SG11201805830TA/en unknown
- 2016-01-12 WO PCT/JP2016/050610 patent/WO2017122258A1/en active Application Filing
- 2016-01-12 JP JP2017561073A patent/JP6474919B2/en active Active
Also Published As
Publication number | Publication date |
---|---|
JP6474919B2 (en) | 2019-02-27 |
JPWO2017122258A1 (en) | 2018-11-22 |
US10346688B2 (en) | 2019-07-09 |
US20190012547A1 (en) | 2019-01-10 |
WO2017122258A1 (en) | 2017-07-20 |
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