Video Analytics Object Verification via Reverse Playback Analysis
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Solution Overview
Problem
Video analytics systems face significant performance degradation and high false alarm rates when detecting static objects in crowded environments, and existing manual solutions are inconvenient and time-consuming.
Innovation Solution
A video analytics system that includes cameras, a data server, and a user workstation, allowing users to define an area of interest and initiate reverse playback analysis to quickly verify the presence and origin of detected objects within a video stream, using feature vectors to accurately identify the first appearance of objects in the scene.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automatic detection of static objects is implemented in crowded environments, then detection coverage is improved, but false alarm rate increases and performance degrades
Solution Approach 1:
The patent segments the video stream into multiple frames and divides the detection task by analyzing only the area of interest (AOI) rather than the entire scene. This allows the system to maintain high detection coverage while reducing false alarms by focusing computational resources on specific regions where objects are likely to appear.
Solution Approach 2:
The system performs preliminary actions by pre-defining areas of interest and pre-processing video frames to extract features before the actual detection occurs. This preparation enables faster and more accurate object detection while filtering out false alarms through pre-established detection criteria and feature matching.
2Measurement precision
If manual searching of objects using reverse playback is implemented, then detection accuracy is improved, but operation convenience deteriorates and time consumption increases
Solution Approach 1:
The patent implements self-service by enabling the system to automatically perform reverse playback analysis and object detection without requiring manual intervention. The system autonomously processes video frames, identifies objects of interest, and presents results automatically, thereby maintaining high detection accuracy while significantly improving operation convenience and reducing time consumption.
Solution Approach 2:
The patent replaces manual mechanical searching operations with automated computational analysis. Instead of manually reviewing video frames, the system uses computer vision algorithms, feature extraction, and automated reverse playback to achieve the same detection accuracy with much greater efficiency and convenience.
3Measurement precision
If reverse playback analysis is performed on entire video stream, then object identification accuracy is improved, but processing time increases
Solution Approach 1:
The patent extracts only the necessary portions of the video stream for analysis by focusing on areas of interest and selecting only the frames that contain potential objects. This extraction approach maintains high object identification accuracy while significantly reducing processing time by avoiding analysis of the entire video stream.
Solution Approach 2:
The system applies local quality by concentrating computational resources on specific regions (areas of interest) and frames rather than uniformly processing the entire video stream. This localized analysis approach preserves identification accuracy for objects of interest while reducing overall processing time through selective attention to relevant video segments.
Data Source
AI summary
Systems and methods for identifying an appearance of an object in a video stream, include receiving, in real-time, an indication of an area of interest, from a user, within a frame of a video stream. The area of interest may include an image of an object. Automatically analyzing the characteristics of the area of interest, finding a frame in which the object first appears in time in the video stream and displaying to the user the video stream starting from the frame in which the object first appears.