Pixel-level based micro-feature extraction
AssigneeIntellective Ai, Inc.
InventorsWesley Kenneth Cobb, Rajkiran K. Gottumukkal, Kishor Adinath Saitwal, Ming-Jung Seow, Gang Xu, Lon W. Risinger, Jeff Graham
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AssigneeIntellective Ai, Inc.
InventorsWesley Kenneth Cobb, Rajkiran K. Gottumukkal, Kishor Adinath Saitwal, Ming-Jung Seow, Gang Xu, Lon W. Risinger, Jeff Graham
Estimating the term…
Techniques are disclosed for extracting micro-features at a pixel-level based on characteristics of one or more images. Importantly, the extraction is unsupervised, i.e., performed independent of any training data that defines particular objects, allowing a behavior-recognition system to forgo a training phase and for object classification to proceed without being constrained by specific object definitions. A micro-feature extractor that does not require training data is adaptive and self-trains while performing the extraction. The extracted micro-features are represented as a micro-feature vector that may be input to a micro-classifier which groups objects into object type clusters based on the micro-feature vectors.
A method, comprising:
A non-transitory, processor-readable medium storing instructions that, when executed by a processor, cause the processor to:
A system, comprising:
Dependencies are inferred from the claim text.