Virtual Panoramic Thumbnail for Video Surveillance Event Summarization
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Solution Overview
Problem
Conventional surveillance systems require manual review of extensive video recordings to identify relevant events, which is time-consuming and inefficient, especially when intruders may go undetected within secured areas.
Innovation Solution
A security system that processes video frames to detect and track motion, characterizing events by size and speed, and generates virtual panoramic thumbnail images summarizing activity, allowing for efficient retrieval and annotation of significant footage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If continuous video recording is used to monitor secured areas, then detection coverage is improved, but review time increases
Solution Approach 1:
The system extracts only the essential information from continuous video recordings by generating thumbnail images at intervals and creating summaries that highlight detected events. This extraction process separates relevant detection data from the vast amount of continuous recording data, maintaining detection coverage while enabling rapid review.
Solution Approach 2:
The system performs preliminary processing of video data by continuously generating thumbnail images and detecting events in real-time, so that when review is needed, the analysis is already complete. This preliminary action prepares the data in advance, eliminating the need for time-consuming manual review of entire video sequences.
2Measurement precision
If manual review of video footage is performed to identify events, then detection accuracy is improved, but productivity decreases
Solution Approach 1:
The system introduces an automated event detection algorithm as an intermediary between video recording and human review. This intermediary pre-analyzes the video data, identifies events, and creates annotated summaries, thereby maintaining detection accuracy while dramatically increasing productivity by reducing manual review requirements.
Solution Approach 2:
The system creates simplified copies of video data in the form of thumbnail images and event summaries that capture the essential information. These copies serve as proxies for the full video footage, allowing rapid review while preserving detection accuracy through automated event identification.
3Loss of information
If detailed video analysis is conducted to characterize events, then information completeness is improved, but device complexity increases
Solution Approach 1:
The system segments the video analysis process into distinct components: thumbnail generation, motion detection, event characterization, and summary creation. Each segment handles a specific aspect of analysis, which reduces overall system complexity while maintaining information completeness through the coordinated operation of these modular components.
Data Source
AI summary
A system including a video sequence embodied in memory, a processor that detects a moving object or person within a field of view of the video sequence, a processor that tracks the moving object or person and that identifies a plurality of frames that summarizes movement of the moving object or person within a time interval of the video sequence and a processor that combines the identified plurality of frames into a thumbnail image.