AU2021103119A4 - Monitoring and movement detection using image subtraction - Google Patents
Monitoring and movement detection using image subtraction Download PDFInfo
- Publication number
- AU2021103119A4 AU2021103119A4 AU2021103119A AU2021103119A AU2021103119A4 AU 2021103119 A4 AU2021103119 A4 AU 2021103119A4 AU 2021103119 A AU2021103119 A AU 2021103119A AU 2021103119 A AU2021103119 A AU 2021103119A AU 2021103119 A4 AU2021103119 A4 AU 2021103119A4
- Authority
- AU
- Australia
- Prior art keywords
- movement
- pixel
- frame
- video
- value
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Ceased
Links
- 238000001514 detection method Methods 0.000 title claims abstract description 16
- 238000012544 monitoring process Methods 0.000 title claims abstract description 9
- 238000011410 subtraction method Methods 0.000 abstract description 3
- 206010000117 Abnormal behaviour Diseases 0.000 abstract 1
- 238000000034 method Methods 0.000 description 3
- 238000009434 installation Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/20—Analysis of motion
- G06T7/254—Analysis of motion involving subtraction of images
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
- G06F3/048—Interaction techniques based on graphical user interfaces [GUI]
- G06F3/0484—Interaction techniques based on graphical user interfaces [GUI] for the control of specific functions or operations, e.g. selecting or manipulating an object, an image or a displayed text element, setting a parameter value or selecting a range
- G06F3/04842—Selection of displayed objects or displayed text elements
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B13/00—Burglar, theft or intruder alarms
- G08B13/18—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength
- G08B13/189—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems
- G08B13/194—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems
- G08B13/196—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems using television cameras
- G08B13/19602—Image analysis to detect motion of the intruder, e.g. by frame subtraction
- G08B13/19608—Tracking movement of a target, e.g. by detecting an object predefined as a target, using target direction and or velocity to predict its new position
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B13/00—Burglar, theft or intruder alarms
- G08B13/18—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength
- G08B13/189—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems
- G08B13/194—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems
- G08B13/196—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems using television cameras
- G08B13/19678—User interface
- G08B13/19682—Graphic User Interface [GUI] presenting system data to the user, e.g. information on a screen helping a user interacting with an alarm system
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B23/00—Alarms responsive to unspecified undesired or abnormal conditions
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10016—Video; Image sequence
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30221—Sports video; Sports image
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30232—Surveillance
Abstract
MONITORING AND MOVEMENT DETECTION USING IMAGE SUBTRACTION
Monitoring and movement detection system is a system that is used to detect changes made by
the person or object. Those changes may be either abnormal behavior or unusual changes that
are done by the person or by the object. We used consecutive frames comparison with image
subtraction method in this invention. We subtracted R, G and B value of the two consecutive
frame pixel by pixel which gives us better result compare to others. By using this we extracted
the little movement in the real time video or any recorded video. In this, we have to arrange a
high quality camera that will monitor. This camera will save the different frames taken at
different point of time. These frames can then be analyzed by the user at a later point of time.
This invention is very helpful for video surveillance, security purposes, patient movement
detection and for anywhere we want to detect movement. Because in many situations, only a
minor movement made is detected plays an important role. The algorithm is implemented in
MATLAB and the results demonstrate that the accuracy is very promising. The algorithm can
be used in video based applications such as automatic video surveillance, motion based
recognition or anywhere we want to detect the movement of person or object. In this it gives
us the percentage of movement detection w.r.t time and it also generates an alarm to notify the
user for some unusual movement.
6
BABA FARID COLLEGE OF ENGINEERING AND TECHNOLOGY BATHINDA
Sheet No. 1
Total Sheet No. 1
swe"act " VIA~
sraei needeega
f Vrames" frampc me YAW4
convne io aray arnd* IN* a S value
~4~raof r~s anewvoeuseande
Suter ac the v f&aue of iin absolte vaigc1
eefrei~~
Figure 1: Flow Chart
5
Description
Sheet No. 1 Total Sheet No. 1
sraei needeega
swe"act " VIA~ convne aray io arnd* IN* aS value ~4~raof r~s anewvoeuseande f Vrames" frampc me YAW4 Suter ac the v f&aue of iin absolte vaigc1
eefrei~~
Figure 1: Flow Chart
Monitoring and movement detection using image subtraction
This invention relates to Monitoring and movement detection using image subtraction
Movement is the act or process of moving an object or person. The movement system provides
a continual care and the movement of persons from the site. We can use this system anywhere
in homes, hospitals, malls, banks and at any public place, where we want to detect the
movement. In the security systems like in banks we can use the movement detection systems
to prevent from theft. In the Elevator system we can detect the unusual movement by the person
or object. In sports we can use the movement detection by the players and by this we can take
care of the kids who are playing. In the parking we can monitor & detect the movement of cars
and prevent the cars from theft. On the border area we use the movement detection system for
the purpose of security. Automated surveillance for security-conscious venues such as airports,
casinos, museums and government installations: Intelligent software could monitor security
cameras and detect suspicious behavior. In this invention we monitor and detect the movement
by person or by object in a real time video as well as recorded video as input in the system.
The system has proper GUI to start and to stop the movement detection. In this we can select
the part of which we want to detect the movement. This is very helpful to get the movement
detection of necessary part in real time video and video as input. This system shows the
movement detected in the form of graph as percentage of movement detected w.r.t. time and
generates an alarm when there is unusual movement is there to notify the user. The graph will
be analyzed by the user later. We use the image subtraction method with two consecutive
frames. We subtract pixel by pixel RGB value of one frame from the other frame by which
there is accurate detection of movement is there.
As we defined, we monitor and detect the movement by the person or by the object in real time
video as well as in recorded video as input into the system. We take results by using low quality
video as well as high quality video. We detect the movement of selected portion of video
instead of whole video. In the results we showed the results of the percentage of movement
detected w.r.t. time. By using this graph value the system creates an alarm to notify the user
about the unusual movement.
Figure 1: Flow Chart
1. Advantage of the Invention
In this invention a new method of monitoring and movement detection system is proposed by
using image subtraction method of the consecutive frames taken by the camera. Then selection
of necessary part of the frame is chosen instead of the whole frame. The changes are reflected
in the form of graphs. This study is helpful for surveillance and security systems.
2. The working methodology of invention- How to work the invention
• First we attach a stationary High quality camera with the system.
• Then we select the portion of which we want to capture movement by using GUI
Buttons.
• After this we use GUI start monitoring button for start the movement capturing.
• The stationary camera captures the real time video by which the system can store the
current frame and last frame of video.
• Then the algorithm divides the each frame in to pixel by pixel and find the RGB value
of each pixel.
• Then convert the value of pixels into array of rows and columns.
* After this subtract the RGB value of each pixel of last frame from the current frame.
• Then after subtraction of RGB values of two frame, it calculates the absolute value of
each pixel.
• By using absolute value, if the result is in the negative integer it converts into the
positive integer.
• Then convert the RGB value in to black & white which shows only two values of each
block i.e. 0 and 1.
• After this combine the binary value of each block to make a new image and open it into
black & white area in which the changes show the white i.e. 1 & unchanged portion
shows the black i.e. 0.
• Then calculate the percentage of changes of the selected portion , by using the changed
area w.r.t. whole selected area.
• Store the current frame into previous frame
• At the end the graph will show the percentage of movement w.r.t. time in seconds.
• Repeat steps from 3 to 13 until there is last frame.
3. Components used in the technology
In this invention, video is captured using a stationary camera. The selection of the model of a
camera is an important aspect of any changes detection algorithm. We used a single stationary
camera that is fixed to our pc. First of all, we will load the video with the help of a stationary
camera. That video will be shown in the GUI window. Then we select portion of image, in
which we want to detect movement, from the buttons available on the right side of the GUI
window. Then we click on the button Start Logging. As we click on the button Start Logging,
Camera will capture the frame of the whole video but gives us result of portion which we have
already selected in the form of graph w.r.t. time. We can also Resize the selection part with the
help of buttons that are Resize(-) and Resize(+) provided on the GUI window. Similarly, we can also move to up, down, left, and right with the help of buttons that are up, down, left and right provided on the GUI window.
Claims (6)
1. A system of Monitoring and movement detection using image subtraction comprises a a
stationary High quality camera with the system and select the portion of which user want to
capture movement by using GUI Buttons.
2. The system as claimed in claim 1, wherein the system is used to capture movement by
using GUI Buttons and after this user uses GUI start monitoring button for start the
movement capturing.
3. The system as claimed in claim 1, wherein the stationary camera captures the real time
video by which the system can store the current frame and last frame of video and the
algorithm divides the each frame in to pixel by pixel and find the RGB value of each pixel
convert the value of pixels into array of rows and columns.
4. The system as claimed in claim 1, wherein after this subtract the RGB value of each pixel
of last frame from the current frame; then after subtraction of RGB values of two frame, it
calculates the absolute value of each pixel; by using absolute value, if the result is in the
negative integer it converts into the positive integer; Then convert the RGB value in to black
& white which shows only two values of each block i.e. 0 and 1.
5. The system as claimed in claim 1, wherein after this combine the binary value of each
block to make a new image and open it into black & white area in which the changes show
the white i.e. 1 & unchanged portion shows the black i.e. 0; then calculate the percentage of
changes of the selected portion , by using the changed area w.r.t. whole selected area..
6. The system as claimed in claim 1, wherein Store the current frame into previous frame; and
At the end the graph will show the percentage of movement w.r.t. time in seconds and repeats
the steps to obtain last frame.
BABA FARID COLLEGE OF ENGINEERING AND TECHNOLOGY BATHINDA 04 Jun 2021
Sheet No. 1 Total Sheet No. 1 2021103119
Figure 1: Flow Chart
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| AU2021103119A AU2021103119A4 (en) | 2021-06-04 | 2021-06-04 | Monitoring and movement detection using image subtraction |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| AU2021103119A AU2021103119A4 (en) | 2021-06-04 | 2021-06-04 | Monitoring and movement detection using image subtraction |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| AU2021103119A4 true AU2021103119A4 (en) | 2021-07-22 |
Family
ID=76860513
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| AU2021103119A Ceased AU2021103119A4 (en) | 2021-06-04 | 2021-06-04 | Monitoring and movement detection using image subtraction |
Country Status (1)
| Country | Link |
|---|---|
| AU (1) | AU2021103119A4 (en) |
-
2021
- 2021-06-04 AU AU2021103119A patent/AU2021103119A4/en not_active Ceased
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| JP7207793B2 (en) | Video-based real-time intrusion detection method and surveillance camera using artificial intelligence | |
| US8159537B2 (en) | Video surveillance equipment and video surveillance system | |
| US10084972B2 (en) | Monitoring methods and devices | |
| US7859419B2 (en) | Smoke detecting method and device | |
| Zhou et al. | A real-time system for in-home activity monitoring of elders | |
| JP4803376B2 (en) | Camera tampering detection method | |
| JP6049448B2 (en) | Subject area tracking device, control method thereof, and program | |
| JPH0335399A (en) | Change area integrating device | |
| JP2003235034A (en) | Image capturing device and method for event monitoring | |
| WO2014130468A1 (en) | Method and system for adjusting exposure settings of video cameras | |
| Parveen et al. | A motion detection system in python and opencv | |
| Suresh et al. | Motion Detection and Tracking using Background Subtraction and Consecutive Frames Difference Method | |
| Willems et al. | How to detect human fall in video? An overview | |
| AU2021103119A4 (en) | Monitoring and movement detection using image subtraction | |
| CN112818854B (en) | All-weather video person searching method applied to campus security | |
| WO2013094115A1 (en) | Time synchronization information computation device, time synchronization information computation method and time synchronization information computation program | |
| US20080024611A1 (en) | Monitoring Apparatus, Monitoring Method, and Program | |
| KR101375186B1 (en) | Method for detecting disturbance of monitoring camera | |
| KR20080071770A (en) | System for sensing abnormal phenomenon on realtime and method for controlling the same | |
| JP2013190943A (en) | Object detector and intercom system | |
| WO2015136828A1 (en) | Person detecting device and person detecting method | |
| JP2012118716A (en) | Image monitoring device | |
| Kumbhare et al. | Indoor surveillance system in dynamic environment | |
| JP2005101807A (en) | Apparatus and method for outdoor monitoring | |
| JP2015046811A (en) | Image sensor |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| FGI | Letters patent sealed or granted (innovation patent) | ||
| MK22 | Patent ceased section 143a(d), or expired - non payment of renewal fee or expiry |