Video Retrieval System for Surveillance Trajectory Search
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Solution Overview
Problem
Video surveillance systems generate a large amount of data from multiple cameras, requiring numerous human observers and resulting in high personnel costs, with existing solutions like VCA systems and graphical interfaces not fully addressing the need for efficient data monitoring and retrieval.
Innovation Solution
A video retrieval system that connects multiple surveillance cameras and displays a graphical overall description of monitored areas in a single perspective view, allowing for trajectory-specific search queries and merging video information into meta-data for efficient data retrieval, using a graphical user interface and context-aware maps to facilitate user interaction and data access.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If multiple surveillance cameras are used to monitor surroundings, then the coverage area and monitoring capability are improved, but the amount of video data increases requiring more human observers and resulting in higher personnel costs
Solution Approach 1:
The system segments the surveillance area into multiple zones, each monitored by a specific camera. The graphical overall description divides the surroundings into monitored areas that are allocated to different surveillance cameras, allowing operators to focus on specific regions rather than reviewing all camera feeds simultaneously.
Solution Approach 2:
A computer-based video retrieval system acts as an intermediary between the multiple cameras and human operators. The system automatically processes video data from multiple cameras, generates a consolidated graphical overall description, and presents it to operators, reducing the need for multiple human observers while maintaining comprehensive coverage.
2Device complexity
If video content analysis systems process each camera independently, then the processing complexity is reduced, but the ability to retrieve trajectory-specific information across multiple cameras is limited
Solution Approach 1:
The system merges video information from multiple independently processed cameras into unified meta-data that contains trajectory information. The querying means can formulate trajectory-specific search queries that search across all cameras simultaneously, retrieving objects with matching trajectories regardless of which camera captured them.
Solution Approach 2:
The system performs preliminary processing of video data from each camera to extract object trajectories and store them in meta-data before querying. This pre-processing allows for efficient trajectory-specific searches across multiple cameras without requiring complex real-time coordination between camera processing systems.
3Ease of operation
If a graphical interface merges multiple camera images onto a scene map in real-time, then the overview capability is improved, but the system complexity and computational requirements increase
Solution Approach 1:
Instead of merging real-time video images from multiple cameras onto a scene map, the system creates a graphical overall description that represents the consolidated view of monitored areas. This graphical representation is generated from processed video data and object trajectories, providing an overview without the computational burden of real-time image merging.
Data Source
AI summary
Video surveillance systems are used to monitor public places, streets, buildings, cities and other premises or surroundings and comprise a multitude of cameras which are monitoring relevant points in the surroundings. One of the problems of surveillance systems is, that the multitude of cameras produce a large amount of video data to be monitored, which requires a lot of human observers resulting in high personnel costs. A video retrieval system (1) connectable to a plurality of surveillance cameras (2) for monitoring a surroundings is proposed, the video retrieval system (1) comprising: displaying means (12) realized to display a graphical overall description (100, 130, 140) of the surroundings under surveillance, whereby the graphical overall description (100, 130, 140) comprises a plurality of monitored areas (110), whereby the areas are allocated to different surveillance cameras (2) and whereby the graphical overall description (100, 130, 140) is displayed in a single perspective view, and querying means (10) realized to formulate a trajectory-specific search (150, 160) query adapted to retrieve data about a moving object in the surroundings with a matching trajectory.