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ANOMALY SCORE ADJUSTMENT ACROSS ANOMALY GENERATORS. October 5, 2017: US20170286863-A1

Techniques are disclosed for generating an anomaly score for a neuro-linguistic model of input data obtained from one or more sources. According to one embodiment, generating an anomaly score comprises receiving a score indicating how often a characteristic is observed in the input data. Upon receiv ...


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TRAJECTORY CLUSTER MODEL FOR LEARNING TRAJECTORY PATTERNS IN VIDEOS DATA. October 5, 2017: US20170286781-A1

Techniques are disclosed for analyzing and learning behavior in an acquired stream of video frames. In one embodiment, a trajectory analyzer clusters trajectories of objects depicted in video frames and builds a trajectory model including the trajectory clusters, a prior probability of assigning a t ...


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UNUSUAL SCORE GENERATORS FOR A NEURO-LINGUISTIC BEHAVIORAL RECOGNITION SYSTEM. Omni AI, October 12, 2017: US20170293608-A1

Techniques are disclosed for generating anomaly scores for a neuro-linguistic model of input data obtained from one or more sources. According to one embodiment, generating anomaly scores includes receiving a stream of symbols generated from an ordered stream of normalized vectors generated from inp ...


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PIXEL-LEVEL BASED MICRO-FEATURE EXTRACTION. February 1, 2018: US20180032834-A1

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 tra ...


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COGNITIVE INFORMATION SECURITY USING A BEHAVIORAL RECOGNITION SYSTEM. Omni AI, February 15, 2018: US20180046613-A1

Embodiments presented herein describe techniques for generating a linguistic model of input data obtained from a data source (e.g., a video camera). According to one embodiment of the present disclosure, a sequence of symbols is generated based on an ordered stream of normalized vectors generated fr ...


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FOREGROUND DETECTOR FOR VIDEO ANALYTICS SYSTEM. Omni AI, March 22, 2018: US20180082130-A1

Techniques are disclosed for creating a background model of a scene using both a pixel based approach and a context based approach. The combined approach provides an effective technique for segmenting scene foreground from background in frames of a video stream. Further, this approach can scale to p ...


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BACKGROUND FOREGROUND MODEL WITH DYNAMIC ABSORBTION WINDOW AND INCREMENTAL UPDATE FOR BACKGROUND MODEL THRESHOLDS. Omni AI, March 22, 2018: US20180082442-A1

Techniques are disclosed for creating a background model of a scene using both a pixel based approach and a context based approach. The combined approach provides an effective technique for segmenting scene foreground from background in frames of a video stream. Further, this approach can scale to p ...