Multicamera Video Surveillance System Using 2D-to-3D Coordinate Mapping
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Solution Overview
Problem
Current methods for detecting and tracking moving objects, such as people, in video surveillance systems are limited by high costs, restricted visibility scope, and complexity in building multicamera systems, particularly requiring expensive stereo cameras and complex camera setups like RGBD cameras.
Innovation Solution
The method utilizes conventional IP cameras adjusted to project a wider visibility scope by orienting them at an acute angle to the horizontal, allowing for more extensive coverage areas and enabling the creation of a multicamera system with minimal overlap, using calibration elements to establish a coordinate match between two-dimensional pixel and three-dimensional metric systems for accurate tracking and analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If stereo cameras or RGBD cameras are used to achieve accurate depth measurement and object tracking, then measurement precision is improved, but device complexity and cost increase significantly
Solution Approach 1:
The patent uses a planar copy (2D image plane with calibrated coordinates) to represent 3D spatial information. By establishing a coordinate correspondence between the 2D image plane and the 3D real-world space through calibration elements, the system achieves accurate tracking without requiring complex 3D sensing hardware. This copying approach replaces expensive depth-sensing cameras with standard 2D cameras combined with mathematical coordinate transformation.
Solution Approach 2:
The patent transforms the problem from measuring physical depth directly to measuring 2D image coordinates and transforming them through calibrated parameter relationships. By changing the measurement parameters from 3D spatial coordinates to 2D image plane coordinates with known transformation matrices, the system achieves the same tracking precision with simpler hardware.
2Measurement precision
If stereo cameras are used to provide accurate spatial information, then measurement precision is improved, but the visibility scope is restricted
Solution Approach 1:
The patent transitions from 3D stereo vision to 2D calibrated image plane analysis. By using 2D cameras positioned strategically and establishing coordinate transformations to a reference plane, the system achieves wide-area coverage while maintaining measurement precision. The dimensional reduction from 3D to 2D, combined with calibrated coordinate systems, enables both large visibility scope and accurate tracking.
3Area of stationary object
If multiple stereo camera systems are deployed to increase coverage area, then area of stationary object is improved, but device complexity and cost increase
Solution Approach 1:
The patent creates a universal coordinate system that can accommodate multiple cameras of the same type. By establishing a reference plane and calibrated coordinate transformations, standard 2D cameras can be deployed in multiple locations and integrated into a single surveillance system. This universal approach allows area expansion using identical, simple camera units rather than complex stereo systems, reducing both individual device complexity and overall system integration complexity.
Data Source
AI summary
A method of building a video surveillance system for object detection and tracking relates to the field of computer vision, and to methods and means of detecting and tracking moving objects, for example, persons. The method consists in special adjustment of each camera of a video surveillance system by means of calibration elements, linking cameras to the location plan, plotting a coordinate match of a coordinate system of a two-dimensional image of each camera with a three-dimensional system of coordinates of a location plan, for example premises; detecting and tracking objects of interest. The method makes it possible to construct motion tracks of objects of interest in the coordinate system of the location plan by means of multicamera surveillance, to analyze the nature of behavior and motion of objects, assess their interaction and individual parameters, as well as to calculate the quantity thereof in location regions of interest.