Virtual Gate Moving Object Detection via Motion Vector Analysis
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Solution Overview
Problem
Existing image monitoring systems fail to accurately detect and count moving objects in complex backgrounds, often resulting in errors due to intricate backgrounds and inability to adjust detection direction and range to meet user needs.
Innovation Solution
A method using motion vector analysis to construct a virtual gate for detecting moving objects, allowing for flexible detection direction and range adjustments without requiring a pre-built background model, by defining a detecting area in an image, forming a motion vector, and comparing subsequent images to determine object position and movement within a user-defined direction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If background subtraction method is used to detect moving objects, then detection can be performed in real-time, but detection accuracy deteriorates in intricate backgrounds with errors in detected signals
Solution Approach 1:
The patent extracts only the necessary detection area from the entire image and focuses motion vector analysis only on that specific region. This eliminates the need to process and model the entire complex background, thereby improving detection accuracy while reducing the complexity of background modeling.
Solution Approach 2:
The patent performs preliminary action by defining the detecting area and constructing the virtual gate before actual motion detection begins. The virtual gate is pre-configured with detecting region and detecting direction, allowing the system to focus computational resources only on relevant areas rather than processing the entire image frame.
2Adaptability or versatility
If conventional motion detection is used, then moving objects can be detected, but the ability to adjust detection direction and range flexibly is lost
Solution Approach 1:
The patent implements dynamic adaptability through the virtual gate mechanism, which allows the detecting region and detecting direction to be adjusted according to user needs. The system can dynamically configure multiple virtual gates with different parameters to monitor different areas and directions within the image, providing flexible adaptation to various monitoring scenarios.
3Loss of information
If background subtraction with threshold comparison is used, then moving objects can be identified, but the direction of object movement cannot be detected
Solution Approach 1:
The patent adds the dimension of motion direction analysis by constructing motion vectors that have both magnitude and direction components. Instead of merely comparing pixel intensity differences, the system calculates displacement vectors between consecutive frames, enabling detection of both object position changes and movement directions simultaneously.
4Productivity
If comprehensive image monitoring is performed, then all moving objects can be detected, but computational efficiency and cost are reduced
Solution Approach 1:
The patent segments the image processing task by dividing the entire image into multiple detecting areas, each with its own virtual gate. This segmentation allows the system to process only relevant regions rather than analyzing every pixel in the entire image, significantly reducing computational resource requirements while maintaining comprehensive monitoring coverage.
Data Source
AI summary
Proposed is a method of detecting a moving object, including: providing an image-set at least including a first image and a second image correlated in a time series, the first image preceding the second image; defining a detecting region and a detecting direction so as to construct a virtual gate in the first image; estimating the motion vector in a time series; comparing, by the virtual gate, the second image with the first image so as to determine a difference therebetween in terms of an object's position and motion vector; and retrieving the object to be an effective moving object upon determination of the object as lying within the detecting region defined in the virtual gate and moving in a direction substantively the same with the detecting direction. This invention presents a moving object detection method without the need to construct a background model a priori.