17987557. REFLECTION DETECTION IN VIDEO ANALYTICS simplified abstract (Cisco Technology, Inc.)

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REFLECTION DETECTION IN VIDEO ANALYTICS

Organization Name

Cisco Technology, Inc.

Inventor(s)

Hugo Latapie of Long Beach CA (US)

Ozkan Kilic of Long Beach CA (US)

Adam James Lawrence of Pasadena CA (US)

Gaowen Liu of Austin TX (US)

Ramana Rao V. R. Kompella of Cupertino CA (US)

REFLECTION DETECTION IN VIDEO ANALYTICS - A simplified explanation of the abstract

This abstract first appeared for US patent application 17987557 titled 'REFLECTION DETECTION IN VIDEO ANALYTICS

Simplified Explanation

The patent application describes a device that tracks objects in video data captured by cameras, represents their spatial characteristics over time as timeseries, associates different portions of the timeseries with behavioral regimes of the objects, and determines if one object is a reflection of another based on correlations in their behavioral regimes.

  • The device tracks objects in video data captured by cameras.
  • It represents the spatial characteristics of the objects over time as timeseries.
  • The device associates different portions of the timeseries with behavioral regimes of the objects.
  • It determines if one object is a reflection of another based on correlations in their behavioral regimes.

Potential Applications

This technology could be applied in surveillance systems, traffic monitoring, and crowd behavior analysis.

Problems Solved

This technology helps in identifying reflections of objects in video data, which can be challenging to do manually.

Benefits

The device automates the process of tracking and analyzing objects in video data, saving time and improving accuracy.

Potential Commercial Applications

One potential commercial application of this technology could be in security systems for identifying suspicious behavior or objects.

Possible Prior Art

One possible prior art for this technology could be existing video analytics software that tracks objects in video data but may not specifically focus on identifying reflections of objects.

Unanswered Questions

How does the device handle occlusions between objects in the video data?

The patent application does not provide details on how the device deals with occlusions between objects that may affect the accuracy of tracking and reflection identification.

What is the computational complexity of the device's algorithms for tracking and analyzing objects in real-time video data?

The patent application does not mention the computational resources required or the efficiency of the algorithms used by the device for real-time object tracking and reflection identification.


Original Abstract Submitted

In one embodiment, a device tracks objects in video data captured by one or more cameras in a location. The device represents spatial characteristics of the objects over time as timeseries. The device associates different portions of the timeseries with behavioral regimes of the objects. The device makes a determination that one of the objects is a reflection of another of the objects, based on a correlation between changes of their respective behavioral regimes.