I need a way to scan through hours and hours of recorded video (mp4, mov, avi, doesn't matter, I can fix that) to search for motion. The videos consist of many, many hours of dull nature scenes like bird nests or a feeding site where very little happens for long stretches punctuated by short bursts of action like parents switching, feeding, etc.

I can't use a cctv monitoring program because those monitor a live stream and only record when there's action. These videos are recorded way off the grid where any form of internet connection is a distant dream.

I've looked at Zoneminder and Motion, but these don't allow me to switch the input from a live feed to a file. Ideally, I'd like it to scan a whole lot faster than real-time.

Any ideas?

  • I'm having the same problem. I tried the VLC filter, didn't work out for me. Did you find a solution? – user580266 Aug 10 '16 at 10:40
  • Sorry, no, I didn't. – Marc Aug 11 '16 at 2:06
  • I am currently working on a windows based software to do this. I will update here once the beta is released in case anyone else needs to do this. – user2924019 Sep 29 '16 at 10:28
  • hello, I have exactly same task. Is there a hope to see a release? – Nikita Kipriyanov Feb 3 '17 at 20:03


VLC has a motion detection filter that you can try by accessing: Tools -> Effects and Filters -> Video Effects -> Advanced -> Motion Detect.


You might have more tweaks available running it from the command line with the --video-filter=motiondetect flag; check out this example.



DVR-Scan is a cross-platform command-line (CLI) application that automatically detects motion events in video files (e.g. security camera footage). In addition to locating both the time and duration of each motion event, DVR-Scan will save the footage of each motion event to a new, separate video clip. Not only is DVR-Scan free and open-source software (FOSS), written in Python, and based on Numpy and OpenCV, it was built to be extendable and hackable.


dvr-scan -i some_video.mp4 -o some_video_motion_only.avi

protected by Community Nov 8 '18 at 16:27

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