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You might want to consider reaching out to ClearView AI. Ethics aside, they probably can help you identify the burglars. With regards to the comments suggesting
by sansnomme 7y ago
You might want to consider reaching out to ClearView AI. Ethics aside, they probably can help you identify the burglars. With regards to the comments suggesting super-resolution, just remember that the Second Law of Thermodynamics prevents recovery of information that does not exist. Neural networks and ML can give you a good guess at what the face may look like, but you won't necessarily get more information out of it and if done incorrectly, might even get a false positive. What neural networks are useful for here is to extract the feature vectors from the face and perform facial recognition on them.
- tpmx 7y agoThe key breakthrough here (for the typically crappy footage) will probably involve a) using many frames to ID the perp and perhaps b) working at a native H.264 I/P frame level with the neural networks, rather than at a decoded framebuffer level.
- mgamache 7y agoWhy would the encoded frame be better vs the decided? Deblocking? Other filters? I would think temporal filtering might help? Not an expert here.