Camera Mounting Position Estimation Using Pixel Height Analysis
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Solution Overview
Problem
Surveillance cameras face challenges in accurately determining their mounting position relative to a target region, leading to deviations in object identification and increased computation time for video content analysis, which affects immediacy and accuracy in image surveillance applications.
Innovation Solution
An image analysis method that captures images of a target region, calculates the inclining and rolling angles of the camera using an angle calculation module, and determines the mounting height based on pixel height and image capturing parameters, enabling precise estimation of camera position and reducing computation time for video content analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual input or complex computation is used for image identification and analysis, then object identification accuracy is improved, but calculation time increases greatly
Solution Approach 1:
The patent applies preliminary action by calculating the mounting parameters (mounting height, vertical rolling angle, horizontal rolling angle) of the surveillance camera before performing video content analysis. The system automatically obtains these parameters using image processing and geometric calculations based on the captured images and known object heights, eliminating the need for manual input during operation. This preliminary establishment of camera position parameters enables subsequent rapid and accurate object identification without requiring complex real-time computations or manual interventions.
2Ease of operation
If mounting parameters are not obtained in advance, then mounting process is simplified, but object identification accuracy deteriorates due to large deviation
Solution Approach 1:
The patent implements self-service by enabling the surveillance camera system to automatically calculate its own mounting parameters without requiring manual measurement or external assistance during the mounting process. The system uses image processing algorithms to analyze captured images, identify reference objects with known heights, and compute the camera's mounting height, vertical rolling angle, and horizontal rolling angle autonomously. This self-calibration capability maintains mounting process simplicity while ensuring accurate object identification.
3Measurement precision
If more complicated computation is performed for image identification and analysis, then identification accuracy is improved, but immediacy of surveillance deteriorates
Solution Approach 1:
The patent applies preliminary action by pre-calculating and storing the camera's mounting parameters (mounting height, vertical rolling angle, horizontal rolling angle) before performing video content analysis. These parameters are obtained automatically through image processing and geometric calculations based on captured images and known object heights. Once established, these parameters enable rapid and accurate object identification during surveillance operations without requiring complex real-time computations, thus maintaining both high identification accuracy and surveillance immediacy.
Data Source
AI summary
An image analysis method is applied to estimating a mounting position of a camera and includes utilizing the camera to capture an image toward a target region. The image includes at least one object of interest. The object of interest has a pixel height in the image. The image analysis method further includes obtaining an inclining angle and a rolling angle of the camera relative to the target region, calculating a mounting height of the camera relative to the target region according to an input height and the pixel height of the object of interest, an image capturing parameter of the camera, the inclining angle and the rolling angle, and performing video content analysis on the image according to the image capturing parameter, the inclining angle, the rolling angle and the mounting height of the camera.