17971268. EXPLAINABILITY FOR EVENT ALERTS IN VIDEO DATA simplified abstract (Cisco Technology, Inc.)
Contents
EXPLAINABILITY FOR EVENT ALERTS IN VIDEO DATA
Organization Name
Inventor(s)
Hugo Latapie of Long Beach CA (US)
Ozkan Kilic of Long Beach CA (US)
Adam James Lawrence of Pasadena CA (US)
Ramana Rao V. R. Kompella of Cupertino CA (US)
EXPLAINABILITY FOR EVENT ALERTS IN VIDEO DATA - A simplified explanation of the abstract
This abstract first appeared for US patent application 17971268 titled 'EXPLAINABILITY FOR EVENT ALERTS IN VIDEO DATA
Simplified Explanation: The patent application describes a device that analyzes spatial characteristics of an object in video data over time, detects events based on changes in behavior, selects contextual data related to the event, and provides alerts to a user interface.
Key Features and Innovation:
- Device represents spatial characteristics of an object in video data as timeseries.
- Detects events based on changes in behavioral regimes in the timeseries.
- Selects contextual data comprising spatial timeseries information for different types of objects or activities.
- Provides alerts to a user interface with contextual data for the detected events.
Potential Applications: This technology could be used in security systems, surveillance cameras, smart home devices, and video analytics software.
Problems Solved: The technology helps in efficiently detecting and analyzing events in video data, providing valuable insights for various applications.
Benefits:
- Improved event detection and analysis in video data.
- Enhanced contextual understanding of events.
- Real-time alerts for users.
Commercial Applications: The commercial applications of this technology include security systems, surveillance industry, smart home automation, and video analytics software market.
Prior Art: There is no specific information provided on prior art related to this technology.
Frequently Updated Research: There is no information available on frequently updated research relevant to this technology.
Questions about Spatial Characteristics Analysis Device: Question 1: How does the device differentiate between different behavioral regimes in the spatial timeseries data? Answer: The device uses algorithms to analyze patterns and changes in the spatial timeseries data to differentiate between different behavioral regimes.
Question 2: Can this technology be integrated with existing video surveillance systems? Answer: Yes, this technology can be integrated with existing video surveillance systems to enhance event detection and analysis capabilities.
Original Abstract Submitted
In one embodiment, a device represents spatial characteristics over time of an object in video data as one or more timeseries. The device detects an event based on a rate of change of behavioral regimes associated with different portions of the one or more timeseries. The device selects contextual data for the event that comprises spatial timeseries information for different types of objects or different activities. The device provides an alert for the event to a user interface regarding the event that includes the contextual data.
