Image Processing Apparatus Video Object Detection
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Solution Overview
Problem
Conventional imaging systems require significant manpower and operation to set parameters for detecting changes in videos, necessitating pre-capture of object and surroundings for accurate detection processing.
Innovation Solution
The image processing apparatus superimposes an image onto the video within the detection range to demonstrate the object's state, allowing for reduced manpower and operation in setting parameters, using techniques like inter-frame difference and background difference methods to analyze object emergence and state without requiring manual object positioning.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If parameters for detection processing are set by capturing object state and surroundings in advance using a camera, then detection accuracy is improved, but manpower and operational complexity increase
Solution Approach 1:
The patent uses a graphic pattern (virtual copy) to represent the actual object state instead of requiring physical capture and setup with real objects. The graphic pattern is superimposed on the video to define the detection range and object characteristics, eliminating the need for manual camera setup while maintaining detection accuracy.
Solution Approach 2:
The patent introduces a graphic pattern as an intermediary element between the detection system and the actual object. This graphic pattern serves as a mediator that defines the detection range and object characteristics without requiring direct physical interaction with the real object, thus reducing operational complexity while preserving detection precision.
2Measurement precision
If parameters for detection processing are set by capturing object state and surroundings in advance, then detection precision is improved, but time consumption increases
Solution Approach 1:
The graphic pattern is prepared in advance as a predefined template that can be directly applied to videos. This preliminary preparation of detection parameters in the form of reusable graphic patterns eliminates the need for time-consuming manual setup for each detection task, while maintaining the precision required for accurate object detection.
Solution Approach 2:
Pre-prepared graphic patterns serve as reusable templates that can be copied and applied to different video segments. This copying mechanism allows rapid deployment of detection parameters without repeated manual setup, reducing time consumption while preserving detection precision through consistent parameter application.
3Measurement precision
If manual positioning of objects is required for detection setup, then detection accuracy is maintained, but operational complexity and costs increase
Solution Approach 1:
The detection system automatically processes videos using the superimposed graphic patterns without requiring manual positioning or setup operations. The system self-adjusts to detect objects within the graphic pattern-defined range, eliminating the need for operator intervention in positioning while maintaining detection accuracy through the structured graphic pattern framework.
Solution Approach 2:
The graphic pattern acts as an intermediary that automates the positioning and definition of detection parameters. Instead of requiring manual object positioning, the graphic pattern provides a structured framework that guides the detection algorithm, reducing operational complexity while preserving detection accuracy through the pattern-defined parameters.
Data Source
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AI summary
An image processing apparatus (100) includes acquisition means (110) configured to acquire a video, superimposition means (120) configured to superimpose an image onto the video acquired by the acquisition means, and detection means (131) configured to detect the emergence of an object in a video in a detection area set on the video acquired by the acquisition means, wherein the superimposition means (120) is configured to superimpose an image corresponding to the size of the object on to the detection area set on the video acquired by the acquisition means, emergence of the image corresponding to the size of the object to be detected by the detection means, and to output the superimposed video to the detection means.