Some tips on video recording

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Here are some general tips for recording scientific video data. These tips are based on numerous tracking applications with AnTracks, and on general concepts in image processing, computer vision, and photography. If you plan on doing automated video analysis, please read this tips and critically assess for each point whether it is something you could improve in your video recording setup.

Remember, the quality of the original video directly determines the overall accuracy of the tracking results. Neither AnTracks nor any other tracking software (and don't believe anyone who tries to tell you different!) can perfectly compensate for errors and insufficiences in the original video recording. Every video tracking application has its intrinsic challenges in the recording process which can not be avoided. That's fine, and that's where the machine learning algorithms of AnTracks step in and try to correct errors or ambiguities. However, many errors can be avoided during recordinq with just a small tweak to the setup.

Video Camera and Settings

Lighting

Scenery Conditions

Tracking in the Water

When tracking fish or other marine species:

Outdoor Experiments

Tracking animals outdoors in their natural habitats is significantly more challenging than tracking in a lab environment. So the experiments require special care, in particular with respect to the lighting.