Dual Video Analytics Determinator for Object Detection Focus
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Solution Overview
Problem
Existing computer-implemented visual object detection systems in video security systems face challenges with processor resource allocation, as some video analytics determinators consume large resources, making continuous repeated employment within a single camera device impractical.
Innovation Solution
The system employs a dual video analytics determinator approach, where a first determinator with high processor resource allocation is infrequently used for partial object detection focus, and a second determinator, with a lower resource allocation, is repeatedly used for refined object detection, ensuring continuous operation within the camera device.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a first video analytics determinator with high processor resource allocation is employed for object detection, then object detection accuracy is improved, but continuous repeated employment within a single camera device becomes impractical
Solution Approach 1:
The system segments the video analytics processing into two distinct determinators: a first determinator with high processor resource allocation for infrequent execution to achieve high accuracy, and a second determinator with lower resource allocation for frequent execution to maintain continuous operation. This segmentation allows each component to be optimized for its specific role, resolving the contradiction between accuracy and continuous operation capability.
2Use of energy by moving object
If a first video analytics determinator is infrequently employed to provide partial object detection focus, then processor resource consumption is reduced, but detection coverage is limited
Solution Approach 1:
The first video analytics determinator performs preliminary object detection to identify regions of interest or anomalies in the video feed. This preliminary action provides partial detection focus that guides the second determinator to concentrate its processing resources on specific areas, thereby reducing overall processor resource consumption while maintaining comprehensive detection coverage through the coordinated operation of both determinators.
Data Source
AI summary
A method, system and computer program product for divided processing in providing object detection focus is disclosed. The system includes a first video analytics determinator configured to provide, by infrequent employment thereof within the system, a partial object detection focus in first information that informs as to where moving objects are likely and unlikely to appear within video frames in respect of video. The system also includes a second video analytics determinator configured to: informatively employ the first information to determine a refined object detection focus; and provide the refined tracking and/or object detection focus in second information.