Invention Grant
- Patent Title: Automatic threat detection based on video frame delta information in compressed video streams
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Application No.: US15492011Application Date: 2017-04-20
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Publication No.: US10373458B2Publication Date: 2019-08-06
- Inventor: David Lee Selinger , Ching-Wa Yip , Chaoying Chen
- Applicant: Deep Sentinel Corp.
- Agency: Ellenoff Grossman & Schole LLP
- Agent James M. Smedley, Esq.
- Main IPC: G06K9/00
- IPC: G06K9/00 ; H04N7/18 ; H04N5/232 ; H04N21/218 ; H04N21/234 ; B60R25/10 ; G08B13/196

Abstract:
Apparatus and associated methods relate to identifying objects of interest and detecting motion to automatically detect a security threat as a function of video frame delta information received from a video encoder. In an illustrative example, the video encoder may be an H.264 encoder onboard a video camera. A cloud server may receive the video frame delta information in a compressed video stream from the camera. Threats may be detected by the cloud server processing the video frame delta information in the compressed video stream, without decompression, to identify objects and detect motion. The cloud server may employ artificial intelligence techniques to enhance threat detection by the cloud server. Various examples may advantageously provide increased capacity of a computer tasked with detecting security breaches, due to the significant reduction in the amount of data to be processed, relative to threat detection based on processing uncompressed video streams.
Public/Granted literature
- US20180308330A1 AUTOMATIC THREAT DETECTION BASED ON VIDEO FRAME DELTA INFORMATION IN COMPRESSED VIDEO STREAMS Public/Granted day:2018-10-25
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