Image Processing System for Person Re-identification
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing systems for person re-identification across multiple cameras suffer from errors and complexity due to high human involvement, making it difficult to track and identify individuals accurately.
Innovation Solution
An image processing system that includes input means for capturing video images from multiple cameras, registering individuals, and displaying switchable windows with associated information and tracking data to simplify the identification process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automatic person re-identification is implemented based on feature quantity similarity, then processing efficiency is improved, but identification accuracy deteriorates due to errors occurring with probability
Solution Approach 1:
The system incorporates feedback mechanisms where operators can correct misidentified persons, and these corrections are fed back into the system to improve future automatic identifications. The monitoring device allows operators to mark correct persons, and this feedback information is utilized to refine the similarity-based identification algorithm, thereby improving accuracy while maintaining efficiency.
Solution Approach 2:
The system introduces an intermediary layer between automatic identification and final decision-making. The automatic identification results serve as preliminary outputs that are reviewed and validated by operators, who act as intermediaries to correct errors before final identification is confirmed. This intermediary review process maintains high processing efficiency while ensuring identification accuracy.
2Reliability
If human involvement in monitoring is increased to correct identification errors, then identification accuracy is improved, but operational complexity increases and monitoring work becomes complicated
Solution Approach 1:
The monitoring interface is segmented into separate functional areas: automatic identification results display, operator correction input areas, and confirmed identification lists. Each segment handles specific tasks independently, allowing operators to focus on correcting only the erroneous identifications rather than managing the entire monitoring process, thereby reducing operational complexity while maintaining accuracy.
Solution Approach 2:
The system performs self-service by automatically generating identification results based on feature similarity, reducing the burden on operators. The automatic system handles routine identification tasks, and operators only intervene when corrections are needed, making the monitoring work simpler while ensuring accurate identification through human oversight.
3Adaptability or versatility
If multiple persons are monitored simultaneously, then monitoring coverage is improved, but it becomes difficult to comprehend which person operations are being performed
Solution Approach 1:
The display interface is divided into separate visual segments or panels, each dedicated to displaying information about a specific monitored person. Each segment shows that person's identification status, location, and any operations being performed. This segmentation allows operators to monitor multiple persons simultaneously while maintaining clear visual separation between individuals, making it easy to comprehend which person each operation refers to.
Solution Approach 2:
Each person's monitoring information is presented with localized visual characteristics and identifiers that are distinct and easily distinguishable. The system applies different visual cues, color coding, or icons for different persons, allowing operators to quickly identify which person is the subject of current operations while maintaining comprehensive coverage of multiple individuals.
Data Source
AI summary
The present invention provides an image processing system, an image processing method, and a program capable of suppressing confusion that may arise in a case where a target person is identified when tracking a person. An image processing system includes: a camera control unit which accepts input video images captured by a plurality of video cameras; a tracked person registering unit capable of registering one or more persons appearing in the video images inputted from the camera control unit; and a display screen generating unit which displays switchable windows of the video images inputted from the video cameras for each person registered by the tracked person registering unit.