Object Tracking Device Zoom Scaling Normalization
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Solution Overview
Problem
Existing object tracking devices face increased processing loads and prolonged matching times when dealing with changes in object size due to camera zooming, as they require multiple template images at different scaling factors and increased pixel counts.
Innovation Solution
An object tracking device that includes a storage unit for a template image, an image input unit, a search region setting unit, a normalizing unit, and a matching unit, which sets a search region based on zoom scaling factors and center coordinates, normalizes the image to a fixed size, and searches for similar regions to the template image, reducing the need for multiple template matches.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple template images at different scaling factors are used to track objects changing size, then tracking accuracy is improved, but processing load increases
Solution Approach 1:
The patent changes the parameter of template image size dynamically based on the detected object size. Instead of using multiple fixed-size templates, the system scales the template image to match the current object size, thereby maintaining tracking accuracy while reducing the need for multiple template images and the associated processing load.
Solution Approach 2:
The patent introduces dynamic adaptation by continuously adjusting the template image size according to the detected object size in each frame. This dynamic resizing allows the system to adapt to zooming and scaling operations, maintaining accurate tracking without requiring pre-computed templates at all possible scaling factors.
2Adaptability or versatility
If template images are created and stored at a plurality of scaling factors to match zoom changes, then tracking capability is improved, but memory requirements and processing time increase
Solution Approach 1:
The patent stores a single template image and dynamically changes its size parameter during processing based on the detected object size. This eliminates the need to store multiple template images at different scaling factors, significantly reducing memory requirements while maintaining the ability to track objects at various sizes.
3Manufacturing precision
If a taken image is scaled up by zooming, then object detail is improved, but matching time increases due to increased pixel count
Solution Approach 1:
The patent changes the size parameter of the template image to match the scaled object size in the zoomed image. By resizing the template rather than comparing against multiple pre-scaled templates, the system maintains detailed object recognition while reducing matching time, as it only needs to perform one template resize operation per frame rather than multiple comparisons.
Data Source
AI summary
In an object tracking device, a search region setting unit sets the search region of an object in a frame image at a present point in time, based on an object region in a frame image at a previous point in time, zoom center coordinates in the frame image at the previous point in time, and a ratio between the zoom scaling factor of the frame image at the previous point in time and the zoom scaling factor of the frame image at the present point in time. A normalizing unit normalizes the image of a search region of the object included in the frame image at the present point in time to a fixed size. A matching unit searches the normalized mage of the search region for an object region similar to a template image.