Camera View Control for Moving Object Tracking
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Solution Overview
Problem
Surveillance accuracy decreases when an object is out of the field of view or hidden behind an obstacle, making continuous surveillance challenging.
Innovation Solution
A method and apparatus that use deep learning for object recognition, combined with camera view control, to track objects and determine their GPS position even when they are out of view or obscured.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a fixed surveillance apparatus is used, then the device complexity is reduced, but the surveillance accuracy decreases when the object is out of field of view or hidden behind obstacles
Solution Approach 1:
The patent applies the dynamics principle by transitioning from a fixed surveillance apparatus to a mobile platform (drone) that can dynamically adjust its position and orientation. The camera is mounted on a mobile device that can move freely in three-dimensional space, allowing the surveillance system to actively track objects that move out of the original field of view or become obscured by obstacles, thereby maintaining high surveillance accuracy without requiring a complex network of fixed cameras.
Solution Approach 2:
The patent employs an intermediary approach by introducing a control apparatus that acts as a mediator between the camera and the mobile platform. This control apparatus receives image frames, performs deep learning-based object recognition, determines object positions, and generates control signals to adjust the camera's view direction. This intermediary system enables automated tracking and maintains surveillance accuracy while keeping the overall device configuration relatively simple.
2Reliability
If the camera view is continuously adjusted to track the object, then the surveillance accuracy is maintained, but the loss of time for processing and control increases
Solution Approach 1:
The patent applies preliminary action by performing deep learning-based object recognition and position determination on each captured image frame before generating control signals. The control apparatus processes the image data, identifies the object's position within the field of view, calculates the required view adjustment, and prepares control signals in advance. This preliminary processing ensures that when the object moves, the system can quickly respond with minimal delay, maintaining surveillance accuracy while optimizing response time.
Solution Approach 2:
The patent implements continuity of useful action by establishing a continuous feedback loop where the camera continuously captures image frames, the control apparatus continuously processes these frames to track object movement, and the camera continuously adjusts its view direction in real-time. This continuous operation ensures that surveillance accuracy is maintained without interruption, and the system adapts dynamically to object movement without significant time loss between detection and response.
Data Source
AI summary
Provided are a method and apparatus for determining a position of a moving object. A method of determining a position of an object includes receiving an image frame from a camera, determining object recognition information of an object included in the image frame by performing object recognition based on deep learning, tracking the object by performing view control of the camera based on the object recognition information, and determining object global positioning system (GPS) position information of the object based on view state information indicating a degree to which the camera is adjusted by the view control.