Part 2: Adaptive Threshold Detection This tutorial is currently being migrated from the old location. In the meantime, you can view the cached version of the previous, complete version on The Wayback Machine by clicking here. Thank you for your patience during this time.
DVR-Scan Overview DVR-Scan is a command-line application for detecting areas in a video that contain motion, automatically extracting each motion segment as a separate file for further viewing or processing. This makes managing a large amount of footage from, for example, security cameras/DVRs, a much more manageable task, as only the areas of interest need to be reviewed after processing with DVR-Scan. See DVR-Scan on Readthedocs for more information.
PySceneDetect Overview PySceneDetect is a command-line application and a Python library for detecting scene changes in videos, automatically splitting the video into separate clips. Not only is it free and open-source software (FOSS), but there are several detection methods available (see Features), from simple threshold-based fade in/out detection, to advanced content aware fast-cut detection. Download Click here to download the latest release of PySceneDetect. Note that PySceneDetect is cross-platform, and is supported for Windows, Linux, and OSX.
Part 1: Threshold/Fade-to-Black Detection This tutorial is currently being migrated from the old location. In the meantime, you can view the cached version of the previous, complete version on The Wayback Machine by clicking here. Thank you for your patience during this time. In the first part of this three-part tutorial, we will write a Python program, using the OpenCV library, to perform threshold-based scene detection, to determine the exact frames where scene transitions (fade ins/outs to/from black in this case) occur.
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