Extracting motion saliency features from video using a neurosynaptic system
AssigneeInternational Business Machines Corporation
InventorsAlexander Andreopoulos, Steven K. Esser, Dharmendra S. Modha
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AssigneeInternational Business Machines Corporation
InventorsAlexander Andreopoulos, Steven K. Esser, Dharmendra S. Modha
Estimating the term…
Embodiments of the invention provide a computer-readable medium of visual saliency estimation comprising receiving an input video of image frames. Each image frame has one or more channels, and each channel has one or more pixels. The computer-readable medium further comprises, for each channel of each image frame, generating corresponding neural spiking data based on a pixel intensity of each pixel of the channel, generating a corresponding multi-scale data structure based on the corresponding neural spiking data, and extracting a corresponding map of features from the corresponding multi-scale data structure. The multi-scale data structure comprises one or more data layers, wherein each data layer represents a spike representation of pixel intensities of a channel at a corresponding scale. The computer-readable medium further comprises encoding each map of features extracted as neural spikes.
A method for sense-response in a robotic environment, comprising:
A system for sense-response in a robotic environment, comprising:
A computer-readable medium storing instructions that, when executed by at least one processor of a machine, cause the machine to perform a method for sense-response in a robotic environment, the method comprising:
Dependencies are inferred from the claim text.