Photographing Control Method for Target Tracking
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Solution Overview
Problem
Existing photographing control methods for monitoring target objects using image recognition technology are complex, require expensive hardware and software, and fail when the target object is shielded or moves out of the viewing angle.
Innovation Solution
A photographing control method that involves obtaining multiple sets of shooting information, including location and angle data, to estimate the target object's location and generate adjustment instructions to adjust the photographing device's angle, ensuring the target remains within the viewing angle.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If image recognition technology based on grayscale and texture features is used to monitor target objects, then continuous monitoring capability is achieved, but device complexity and cost increase significantly
Solution Approach 1:
The patent extracts only the essential geometric features (edges, corners, lines) from the target object rather than using full image recognition. By taking out only the necessary structural elements needed for tracking, the system achieves monitoring capability with significantly reduced computational complexity and lower hardware requirements.
Solution Approach 2:
Instead of using complex image recognition to identify and track objects, the patent inverts the approach by using simple geometric feature extraction combined with spatial relationship analysis. This inverted methodology achieves the same monitoring goal through a simpler, more efficient technical path that avoids the complexity of traditional computer vision systems.
2Reliability
If image recognition technology is used to track shielded target objects, then monitoring is maintained, but the system fails when objects are shielded or move out of viewing angle
Solution Approach 1:
The patent performs preliminary action by establishing a spatial model of the target object's geometric features and their relationships before shielding occurs. By pre-establishing this structural framework, the system can predict and maintain tracking of shielded objects using the remaining visible geometric cues and spatial relationships, rather than relying on continuous full-object recognition.
Solution Approach 2:
The patent introduces geometric feature points (edges, corners, lines) as intermediary elements that mediate between the photographing device and the target object. These intermediary geometric markers remain detectable even when parts of the object are shielded, serving as reliable reference points for maintaining spatial awareness and continuous monitoring under partial occlusion.
3Measurement precision
If multiple sets of shooting information are collected and processed to estimate target location, then positioning accuracy improves, but processing time and computational load increase
Solution Approach 1:
The patent replaces complex mechanical image processing systems with a streamlined computational geometry approach. By substituting full image recognition algorithms with geometric feature extraction and spatial relationship calculations, the system achieves accurate location estimation with significantly reduced processing time and computational resources.
Data Source
AI summary
A method includes obtaining a photographed image from a photographing device carried by a movable object, determining a target object in the photographed image to track the target object, determining location estimation information of the target object based on shooting information of the photographing device, and in response to a disappearance of the target object in the photographed image, controlling the photographing device to search for the target object around a location associated with the location estimation information.


