{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-9710727","patent":{"patent_number":"US-9710727","title":"Anomaly detection using a kernel-based sparse reconstruction model","assignee":null,"inventors":[],"filing_date":"2013-02-21T00:00:00.000Z","publication_date":"2017-07-18T00:00:00.000Z","cpc_codes":["G06V","G06F","G06F","G06V","G06V"],"num_claims":14,"abstract":"A method and system for detecting anomalies in video footage. A training dictionary can be configured to include a number of event classes, wherein events among the event classes can be defined with respect to n-dimensional feature vectors. One or more nonlinear kernel function can be defined, which transform the n-dimensional feature vectors into a higher dimensional feature space. One or more test events can then be received within an input video sequence of the video footage. Thereafter, a determination can be made if the test event(s) is anomalous by applying a sparse reconstruction with respect to the training dictionary in the higher dimensional feature space induced by the nonlinear kernel function."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Anomaly detection using a kernel-based sparse reconstruction model","description":"A method and system for detecting anomalies in video footage. A training dictionary can be configured to include a number of event classes, wherein events among the event classes can be defined with r","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-9710727","license":"CC-BY-4.0-like","license_terms":"AI-generated analysis on this page (summary, layman_explanation, technical_analysis, business_analysis, faqs) may be reused with attribution and a visible link back to the canonical URL above. Patent abstracts, claims, and bibliographic data are USPTO public domain.","required_link":"https://patentable.app/patents/US-9710727","citation_suggestion":"Patentable. \"Anomaly detection using a kernel-based sparse reconstruction model\" (US-9710727). https://patentable.app/patents/US-9710727","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-9710727","json":"https://patentable.app/api/llm-context/US-9710727","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-06-06T12:31:45.101Z"}