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2015-09-24 00:12:54 -0600 | commented answer | Detect cattle in drone video footage Source code and everything, you've gone above and beyond @berak |
2015-09-24 00:11:38 -0600 | received badge | ● Scholar (source) |
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2015-09-21 02:14:34 -0600 | commented question | Detect cattle in drone video footage @berak I've edited question to include link to video footage which is much more relevant than any individual example image could be. |
2015-09-21 02:12:41 -0600 | received badge | ● Editor (source) |
2015-09-21 02:06:27 -0600 | commented question | Detect cattle in drone video footage @berak thanks for the tip on the LatentSVMDetector and DPM. The LatentSVMDetector seems like it might be pre-trained (or comes with one trained model). Information on the DPM is pretty thin on the ground. Looks like the LatentSVMDetector can only be trained/retrained with Matlab on Linux, which is disappointing. No idea about the DPM but I'm guessing the training options will be the same or worse. |
2015-09-21 01:52:22 -0600 | answered a question | Detect cattle in drone video footage @berak thanks for the tip on the LatentSVMDetector/DPM those weren't even on my radar. It looks like the LatentSVMDetector is pre-trained, or somewhat pre-trained (documentation is thin on the ground), I can't find much info at all about the DPM. Do you know if its possible to either add to the existing training or completely re-train the LatentSVMDetector? I guess that maybe this should be an entirely new question. |
2015-09-18 00:53:40 -0600 | received badge | ● Enthusiast |
2015-09-17 23:39:22 -0600 | asked a question | Detect cattle in drone video footage I’m looking at using OpenCV to detect cattle within footage taken from a drone. Every time I get to the point of making a decision on what technique I should use I either read something contradictory that indicates that it might be a bad choice or I read about some other technique which seems more suitable. My initial requirement is to be able to process footage taken from a drone that has crisscrossed a paddock (field) and identify the specific parts of the footage that contain cattle. This information can then be used to create index points (chapters) in the video so that skipping to the next ‘interesting’ piece of footage is simple. Ideally I'd also be able to display an identifying box around the detected cattle. Most questions/answers that I see about detecting animals (or non-uniform objects) in video footage are about fixed surveillance type camera footage where the background doesn’t change except for gradual lighting changes and most could be solved with simple motion detection. Obviously footage taken from a continually moving camera on a drone will have different problems to content with. The background will be constantly changing and also, because of the camera movement, cattle will not always be placed in one particular area of the frame, nor will they ever track along the same/similar path. Another issue is that I need to identify “cattle”, not “a cow that has has been nicely framed for a picture". Cattle move about in groups and the footage will rarely contain a full clean image of any individual animal, rather there will be animals obscuring each other and animals could be at ... (more) |
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