Imaging Device Automatic Object Tracking and Resolution Compensation
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Solution Overview
Problem
Conventional video cameras require significant operator attention to adjust image direction and zoom magnification while capturing moving images, making it difficult to focus on the subject and perform other tasks simultaneously.
Innovation Solution
An imaging device that includes an imaging element, a specific-object detection portion, a clipped-image extraction portion, and an image-quality compensation portion, which automatically detects and tracks specific objects, extracts high-resolution clipped images, and corrects for device and object motion, allowing for stable image capture without intense operator focus.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If automatic object detection and tracking is implemented, then operator attention requirement is reduced, but device complexity increases
Solution Approach 1:
The imaging device automatically detects specific objects, determines clip regions, and adjusts imaging parameters without operator intervention. The system serves itself by autonomously tracking objects and maintaining optimal framing, eliminating the need for continuous manual adjustment while reducing operator attention requirements.
Solution Approach 2:
The device continuously monitors object positions in successive images and uses this feedback to dynamically adjust clip regions and tracking parameters. This closed-loop feedback mechanism enables automatic adaptation to moving objects, maintaining accurate tracking without operator input while managing system complexity through iterative refinement.
2Measurement precision
If clipped image extraction is performed to focus on specific objects, then image resolution of the object is improved, but the whole scene context is lost
Solution Approach 1:
The imaging device segments the full image into a clip region focused on the specific object and the remaining background area. This segmentation allows the system to capture high-resolution details of the object of interest while preserving the broader scene context in the unclipped portions, enabling selective focus without complete context loss.
Solution Approach 2:
The device applies different quality levels to different regions of the image. The clip region containing the specific object is captured at high resolution with enhanced detail, while other areas maintain standard resolution. This local quality differentiation optimizes information capture for the object of interest while maintaining adequate scene context.
3Stability of the object's composition
If motion correction is applied to stabilize the clipped image, then image stability is improved, but processing time increases
Solution Approach 1:
The device performs motion correction by predicting object trajectories and pre-adjusting clip regions based on anticipated object positions. By performing correction actions in advance rather than reactively, the system reduces the computational burden during real-time processing while maintaining image stability, thus reducing processing time requirements.
Solution Approach 2:
The motion correction system uses simplified algorithms that skip complex computational steps by leveraging temporal coherence between successive frames. By assuming continuous object motion patterns and using incremental updates rather than full re-processing, the system achieves stable image composition with reduced processing time.
Data Source
AI summary
An imaging device (1) includes: an imaging element (33) which outputs a signal expressing an optical image of an imaging object upon an imaging process; a particular object detection unit (14) which successively acquires a frame image based on an output signal of the imaging element and detects the position of the particular object contained in the imaging object on the frame image according to the image signal of the frame image; a cut-out unit (15) which sets in the frame image, a cut-out region smaller than the entire region of the frame image according to the detected position and extracts the image in the cut-out region as a cut-out image; and an image quality compensation unit (16) which improves the resolution of the cut-out image.