Wide Area Video Camera Target Detection Mapping
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Solution Overview
Problem
Current surveillance systems face challenges in accurately determining the geographical location of a detected moving object for dispatching patrol units, as radar systems can provide false positives and existing camera systems lack the capability to translate 2D camera information into real-world locations effectively.
Innovation Solution
The system employs wide area video (WAV) cameras to detect motion within a wide field of view, maps the detected motion to latitude and longitude, and provides location information on a map, using a combination of camera calibration, landmark identification, and GPS data to direct patrol units to the detected object.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If radar systems are used to detect moving objects, then detection coverage is improved, but false positives increase
Solution Approach 1:
The patent combines radar detection with camera verification systems. When radar detects a moving object, the system merges this detection with camera footage from multiple angles to confirm the object's presence and eliminate false positives before dispatching patrol units.
Solution Approach 2:
The system implements feedback loops where camera verification results feed back into the radar detection system. Confirmed detections reinforce radar reliability, while false positives are filtered out through iterative verification processes, improving overall system accuracy over time.
2Measurement precision
If camera systems are used to verify moving objects, then detection accuracy is improved, but location determination capability deteriorates
Solution Approach 1:
The patent introduces GPS coordinates and map data as intermediary elements that bridge camera detections with geographical location. The system overlays detected objects onto map interfaces using coordinate transformations, enabling location determination without requiring cameras to directly measure geographical positions.
Solution Approach 2:
The system transforms 2D camera image coordinates into 3D geographical coordinates by integrating with map data and using coordinate transformation algorithms. This dimensional conversion allows the camera system to provide location information indirectly through spatial mapping rather than direct measurement.
3Reliability
If confirmation procedures are implemented before dispatching patrol units, then reliability is improved, but response time deteriorates
Solution Approach 1:
The patent implements preliminary calibration of camera systems with known geographical locations and pre-establishes detection thresholds. This preliminary setup enables faster real-time verification by comparing detections against pre-configured parameters, reducing confirmation time while maintaining reliability.
Solution Approach 2:
The system applies partial confirmation procedures based on detection confidence levels. High-confidence radar detections may require minimal camera verification, while low-confidence detections undergo more thorough verification. This differentiated approach balances reliability requirements with response time constraints.
Data Source
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AI summary
A system (600) for providing a geographical location (660) for a detected moving object (602) is presented. The system (600) comprises a camera (610) configured to capture first and second images (620) of a field of view at first and second times. The system comprises a processor configured to receive the first and second images (620) of the field of view, index the first and second images based on an associated timestamp, and provide the first and second images (620) to a nonvolatile storage medium (612). The system (600) comprises a change detection module (614) configured to compare the first and second images (620) and detect the moving object (602), and a position identification module (636) configured to calculate and provide the geographical location (660) for the detected moving object (602), based on a known location of the camera (610), and a calibration of the field of view.