Multi-Camera Image Processing Apparatus with Map and Time Bar Display
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Solution Overview
Problem
Current image processing systems for object tracking lack the ability to effectively integrate and display image information from multiple cameras, particularly in real-time, with limited functionality in selecting and displaying specific object images based on user input.
Innovation Solution
An image processing apparatus and method that processes camera information from multiple cameras, including movable and stationary PTZ cameras, to generate and display maps, time bars, and image screens, allowing users to select and view specific object images and their positions and timestamps, enhancing object tracking functionality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If image information from multiple cameras is integrated and displayed in real-time, then object tracking capability is improved, but device complexity increases
Solution Approach 1:
The system divides the complex multi-camera integration task into separate functional modules: a map generation unit that displays camera positions, a time bar unit that shows temporal information, and an image display unit that presents captured images. This segmentation allows each module to handle specific aspects of multi-camera data independently, improving object tracking reliability while managing system complexity through modular design.
Solution Approach 2:
The image processing apparatus is designed to receive and process images from multiple different types of cameras (stationary cameras, PTZ cameras, movable cameras) through a unified interface. The system can simultaneously handle various camera inputs and display them together with map and time bar information, achieving multi-functionality that improves tracking capability without requiring separate processing systems for each camera type.
2Ease of operation
If users can select and view specific object images from multiple cameras, then ease of operation is improved, but device complexity increases
Solution Approach 1:
The system introduces an image selection unit that acts as an intermediary between the multiple camera inputs and the user interface. This unit receives user input through the user interface unit, selects the appropriate image from multiple cameras based on user preferences or automatic criteria, and presents it through the image display unit. This intermediary layer simplifies user interaction while managing the complexity of multi-camera selection automatically.
Solution Approach 2:
The system incorporates automatic image selection capabilities that can operate without constant user intervention. The image selection unit can automatically determine which camera image to display based on object tracking data, timestamp information from the time bar unit, or predefined criteria, allowing the system to serve itself in selecting appropriate images and reducing the operational burden on users.
Data Source
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AI summary
An image processing apparatus includes a display configured to display at least one screen; a communication interface configured to receive camera information from at least one camera; a processor configured to extract position information, time information, and image information corresponding to one another from the camera information and generate a first screen displaying the position information, a second screen displaying the time information, and a third screen for displaying the image information; and a user interface configured to receive a user input for selecting first position information from the position information or first time information from the time information, wherein the processor is further configured to extract first image information corresponding to the first position information or the first time information from the image information and reproduce the first image information through the third screen.