Camera Control Device for Moving Object Tracking
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Solution Overview
Problem
In image capturing systems with multiple cameras, the existing technologies face issues with high communication traffic between cameras and a camera control device, and the use of all-around cameras with fish-eye lenses leads to distortion and inefficient selection of optimal images, especially when the camera is positioned higher than the target, making it difficult to recognize individuals due to distortion and angle limitations.
Innovation Solution
The system includes a camera control device and cameras with image generation, moving object detection, and transmission units, where cameras transmit position information of moving objects, and the control device selects appropriate cameras based on position and angle evaluation values to reduce data transmission and enhance image recognition accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If all cameras always transmit images to the camera control device, then image availability is ensured, but communication traffic increases and network loads are burdened
Solution Approach 1:
The system performs preliminary actions by having cameras detect moving objects and determine their positions before transmitting images. The camera control device receives position information in advance and pre-determines which cameras should transmit images based on the moving object's position, thereby avoiding unnecessary image transmission and reducing communication traffic while ensuring reliable image availability when needed.
2Area of stationary object
If all-around cameras with fish-eye lenses are used to capture wide-angle images, then image-capturing range is expanded, but distortion occurs in captured images
Solution Approach 1:
The system extracts only the necessary portion of the all-around image containing the moving object for transmission to the camera control device. Instead of transmitting the entire distorted all-around image, the system extracts and transmits only the relevant region where the moving object is located, thereby reducing communication traffic while maintaining image quality for recognition purposes.
Solution Approach 2:
The system applies local quality by focusing on the specific region where the moving object is detected. The camera control device determines the position of the moving object and requests images only from cameras where the moving object is within an optimal capture range, thereby reducing the impact of distortion by limiting processing to relevant local areas rather than the entire all-around image.
3Area of stationary object
If cameras are installed at higher positions to capture downward views, then monitoring coverage is improved, but recognition accuracy decreases due to angle limitations
Solution Approach 1:
The system applies local quality by evaluating the specific capture characteristics of each camera based on the moving object's position. The camera control device determines which cameras provide optimal views for recognition by considering the moving object's position relative to each camera's optical axis, thereby selecting cameras that balance monitoring coverage with recognition accuracy for the specific target.
Solution Approach 2:
The system implements dynamics by adaptively selecting which cameras transmit images based on real-time position information of moving objects. The camera control device dynamically determines the optimal cameras for image transmission according to the moving object's current position, allowing the system to optimize recognition accuracy for each specific monitoring situation rather than using a fixed camera configuration.
4Ease of operation
If cameras select images based only on whether the person faces front, then selection simplicity is maintained, but optimum image selection is not always achieved
Solution Approach 1:
The system applies parameter changes by expanding the selection criteria beyond simple face orientation. The camera control device uses multiple parameters including the moving object's position, the camera's optical axis direction, and the angle between them to determine optimal images. This multi-parameter approach maintains ease of operation through automated processing while significantly improving optimum image selection accuracy by considering geometric relationships between cameras and targets.
Data Source
AI summary
Each camera comprises an image generation unit for generating an image by capturing the image, a moving object detection unit for detecting a moving object from the image and transmitting information on the position of the moving object to the server, and an image transmission unit for, when the camera is selected by the server, transmitting an image. The server comprises an image delivery camera selection unit for selecting some cameras as image delivery cameras from among the cameras based on the information on the position of the moving object transmitted from each of the cameras, an image delivery camera notification unit for notifying the selection result to the cameras, and an image input unit for inputting the images transmitted from the image delivery cameras.