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Re: [Motion-user] Motion Surveillance System
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From: Bruce W. B. <bru...@ve...> - 2013-06-19 17:21:42
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Assuming you would have a vpn set up you could conceivably run the motion
computer outside your internal lan as long as it could mount the network
drives the main host accesses.
Bruce W. Bodnyk
bru...@ve...
From: C.T. [mailto:sem...@ya...]
Sent: Wednesday, June 19, 2013 12:33 PM
To: Motion discussion list
Subject: Re: [Motion-user] Motion Surveillance System
Distant means recording outside of the LAN
Le 2013-06-19 à 12:28, Bruce W. Bodnyk a écrit :
Please explain what you mean by distant recording? If you mean by the
network locations, both my computers are on the same intranet so they can
both share the same network drive to storage.
Bruce W. Bodnyk
bru...@ve...
From: C.T. [mailto:sem...@ya...]
Sent: Wednesday, June 19, 2013 11:20 AM
To: Motion discussion list
Subject: Re: [Motion-user] Motion Surveillance System
It seems there is no distant recording set up, or have I read too fast?
Enviado desde mi iPad
El 19/06/2013, a las 10:05, "Bruce W. Bodnyk" <bru...@ve...>
escribió:
Hi!
I attempted to post this previously but I has a number of screen shots as
attachments which made the email too large for the mailing list. Im
re-posting this without the screen shots!
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Ive been developing my own home surveillance system around Motion and am
posting this to demonstrate what Ive done and hopefully see what others may
be doing.
Requirements
The following are the requirements I set out to satisfy:
· Capture vehicle and person Motion events. Detect when vehicles
pass by and when people come and go from my house.
· Use out-of-the-box Motion functionality I dont really want to
mess with the Motion code.
· Scalable Ability to have as many cameras as you want.
· Web Interface Use a web browser to access the Motion data and
eventually a smartphone app.
· Automatic event characterization On a bright windy day I can
easy get 500-600 events. Ive got better things to do with my time than
manually go thru each one.
Hardware
Currently Im using two Raspberry Pi computers; one which is running Motion
and a second on which the MySQL and Apache servers run on. On the Motion pi,
I have two Playstation Eye cameras hooked up thru a powered usb hub. Both
pis are using a hard wire Ethernet connection rather than wireless. Im
using a networked drive mounted on each pi which is where the jpegs and
avis are stored. With regards to the two cameras, Im only detecting motion
on one, the other Im just generating a timelapse mpeg. Both cameras are set
to 320x240 resolution and I am capturing at 10 fps.
Environment
Currently my one camera is pointing out my front window. Ive defined three
regions of interest; the street in front of my house; the steps leading from
the street down to my walkway; and the walkway into my house. I have a
colored mask; green, yellow, red and black similar to the black&white mask
Motion uses which easily lets me know that region; 1(walkway),2(steps) or
3(street), the motion center for a frame is in.
Detection
I have Motion configured with a black&white mask although I do have three
different masks I use depending upon how windy it is outside. Currently I
automatically switch between masks, eventually I will also re-configure
Motion by adjusting the threshold and other settings depending upon how
windy it is.
Event Process
The following are the steps a motion event goes thru.
1. When motion is detected I generate both a avi (ffmpeg_cap_new on)
and jpegs (output_normal on). I also have Motion configured to submit an sql
query to add the event information to a raw_events table. i.e. insert
into raw_events(camera, filename, frame, file_type, time_stamp,
event_time_stamp, event_class, event_type, changed_pixels, noise_level,
motion_width, motion_height, motion_x, motion_y, event_status ) values('%t',
'%f', '%q', '%n', '%Y-%m-%d %T', '%C', 'motion', 'unknown', '%D', '%N',
'%i', '%J', '%K', '%L', 'Raw') The motion files are stored in the following
path - /mnt/mybookworld/motion/raw/camera_1. Note that Ive added several
additional columns to this sql table over what Motion originally had.
2. Upon the completion of the avi, I have Motion call a Perl script.
The Perl script copies the avi event info to an events table. I also
capture each frame info in a frames table where I record the associated
jpeg, motion center and motion size. The actual jpegs and avi are then
physically moved to a new location, i.e. /mnt/
mybookworld/motion/camera_1/xxxx where xxxx is the unique index of the event
record from mysql. This xxxx index is used in the frames table to
associate a frame mysql record to an event avi. The raw_events table is
then cleaned out. Upon completion of this step the event has a status of
Raw. As part of this step, the best jpeg is selected to be associated
with the avi to be display on my web page.
3. On my 2nd pi; the non-motion one, the events table is routinely
scanned for Raw events. When a Raw event is found, several things are
done; I add graphics to the best jpeg which is essentially the motion
centers connected with colored lines and each motion center is also
indicated with a different colored point. The colors relate to which motion
region the motion is in. I also calculate a few other things such as the
percent_in_mask which tells me what percent of motion centers are in each
region and motion_center_area where I calculate the areas the motion
centers are located in for each of the three regions. I also generate a
motion_string for each event that looks like; 33, 332211,
332233223322, etc. Finally using the motion string and other information,
I attempt to determine whether the event is a vehicle or a person. For
example, a 33 motion string is probably a vehicle while a 332211 motion
string might indicate a person coming to my front door. After all this, the
event status is set to New.
4. Once an event is New it then shows up on my web page. At this
point I can accept the suggested event type or enter my own event type if I
dont agree with the suggested event type. Regardless, after setting the
event type, the event status is set to Active. I can also delete the event
if need be. As part of step 3, possible event types are Bogus and
Flapping. I can (or try to) automatically delete these types of events. At
this point if I delete an event, I remove it from the different sql tables
and remove the files from disk, but I also add a record to an
auto_del_events table to keep track of how many events Im deleting. I use
this information to automatically change the black&white mask Motion uses.
On a calm day I use a mask with broad white areas. On a windy bright day I
switch to a mask with smaller white areas.
5. Once an event is Active I can then archive it. The archival
process changes the event status to Archive and also physically moves the
jpeg and avi to a different disk location, i.e.
/mnt/mybookworld/motion/archive/camera_1/xxxx.
Current Development
Currently my automatic event characterization is fairly simple. On a calm
day I can detect vehicles driving past with almost 100% accuracy although
such an event could also be a person walking by or riding by on a bike. I
hope to eventually be able to tell this. Also, I have many vehicle events
that are really two; two cars passing in opposite directions which I also
hope to eventually determine. Likewise, on a very calm day I can
characterize persons coming and going. Its when the wind starts picking up
that things get confusing. Most of my current development activity is
centered around improving the characterization or event typing.
Future Development
· Continual improvement of the web interface
· Add event notification Send an email / text message when a
person event occurs.
· Develop a smartphone app.
Conclusion
The Motion program is pretty cool and works as advertised but by itself is
not terribly useful. The above is my attempt at making the Motion output
much more useful. Im curious what others have done in the area of event
characterization.
Regards,
Bruce W. Bodnyk
bru...@ve...
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