Surveillance Object Tracking via Accumulated Feature Database
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Solution Overview
Problem
Existing surveillance systems face discontinuation in object tracing when using cameras with different specifications and surveillance environments, limiting their compatibility and efficiency in monitoring wide areas.
Innovation Solution
A surveillance system that accumulatively stores feature information from various cameras, using an object comparing unit to match and identify objects across different cameras, and an object mapping unit to assign identifiers, enabling continuous tracking without the need for overlapping surveillance areas.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If feature information from a single camera is used for object identification, then object identification accuracy is improved, but surveillance area coverage deteriorates
Solution Approach 1:
The system creates a universal object database that stores feature information from multiple camera types and surveillance environments. This database serves multiple functions: storing features from different cameras, enabling cross-camera object identification, and supporting both single-camera and multi-camera operations, thereby expanding surveillance coverage without sacrificing identification accuracy
Solution Approach 2:
The patent transitions from two-dimensional single-camera surveillance to multi-dimensional surveillance by accumulating feature information across multiple cameras with different specifications. This creates a new dimension of object recognition that works across diverse camera types and surveillance areas, effectively expanding coverage while maintaining accuracy
2Area of stationary object
If cameras with different specifications are used to expand surveillance area, then surveillance area coverage is improved, but object tracing reliability deteriorates
Solution Approach 1:
The object database acts as an intermediary between cameras with different specifications. It accumulates and standardizes feature information from various camera types, enabling reliable object identification across different surveillance environments without requiring direct camera compatibility or overlapping fields of view
Solution Approach 2:
The system changes the parameters of object recognition by storing multiple feature representations of the same object captured under different conditions (different cameras, angles, resolutions). This allows the system to adapt to varying camera specifications while maintaining consistent object identification and tracing reliability
3Duration of action of stationary object
If overlapping surveillance areas are used to enable object sharing between cameras, then object tracing continuity is improved, but system complexity deteriorates
Solution Approach 1:
The patent extracts the requirement for overlapping surveillance areas from the system design. By using an object database that stores and compares feature information, the system eliminates the need for spatial overlap between camera fields of view, thereby reducing installation complexity and expanding coverage while maintaining tracing continuity
4Adaptability or versatility
If same type of cameras are used to ensure compatibility, then camera compatibility is improved, but surveillance area coverage deteriorates
Solution Approach 1:
The object database provides a universal interface that accommodates multiple camera types and specifications. It enables the system to integrate diverse cameras with different surveillance areas while maintaining object identification consistency, thereby expanding coverage without sacrificing compatibility
Data Source
AI summary
Disclosed is a surveillance system and method based on accumulated features of objects. The surveillance system ensures and accumulatively stores a plurality of data about feature information corresponding to an object picked up by a plurality of cameras and easily identifies the same object in an image taken by another camera having a surveillance area different from those of the plurality of cameras on the basis of the data, thereby allowing for continuous tracing.


