Image Flow Analysis Method for Low Data Storage Camera Systems
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Solution Overview
Problem
Conventional monitoring camera systems face challenges in storing and processing large amounts of data regarding object flow in busy areas, leading to high hardware requirements and computational burdens.
Innovation Solution
An image flow analyzing method that computes average staying amounts and periods of objects within a monitoring region using specific time lengths, reducing data storage needs by aggregating data into average parameters, which can be combined flexibly across different time periods, thereby decreasing storage demands and hardware costs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional flow analyzing technique stores entering time, leaving time and waiting period of all objects, then flow statistic information can be computed accurately, but storage capacity is exceeded and hardware requirements increase
Solution Approach 1:
The patent extracts only the essential information needed for flow statistics (entering time and leaving time of objects) while discarding redundant detailed information. By taking out only the critical data points required for computing average staying amounts and periods, the system achieves accurate flow statistics without storing enormous quantities of data, thus resolving the contradiction between measurement precision and data quantity.
Solution Approach 2:
Instead of storing all detailed object information and then computing statistics, the patent inverts the approach by directly computing flow statistics from aggregated time data. The system computes average staying amounts and periods by processing entering and leaving times in a streamlined manner, reversing the conventional sequence of detailed storage followed by computation, thereby reducing storage requirements while maintaining statistical accuracy.
2Loss of information
If monitoring camera records exclusive datum for each moving object, then comprehensive flow analysis is achieved, but computational burden and hardware requirements increase significantly
Solution Approach 1:
The patent merges the processing of multiple objects' time data into a unified computational framework. By combining entering and leaving times of all objects and computing aggregate statistics (average staying amount and period) in a single processing pass, the system achieves comprehensive flow analysis without the computational burden of processing each object separately, thus reducing device complexity while maintaining information completeness.
Solution Approach 2:
The patent performs preliminary aggregation of entering and leaving time data before computing flow statistics. By organizing and preprocessing the time data in advance, the system simplifies the subsequent computation of average staying amounts and periods, reducing the overall computational burden while ensuring that no flow analysis information is lost.
3Area of stationary object
If monitoring camera is installed in busy region to capture high traffic, then monitoring coverage is improved, but data storage and computation become unmanageable
Solution Approach 1:
The patent extracts only the essential temporal information (entering and leaving times) from the video data while discarding redundant spatial and detailed object information. This extraction approach allows the system to maintain wide monitoring coverage in busy regions while storing only the critical data needed for flow analysis, thus managing data volume effectively without sacrificing monitoring area.
Solution Approach 2:
The patent changes the parameters being stored from detailed object characteristics to aggregated temporal statistics. By transforming the data representation from individual object details to summary metrics (average staying amount and period), the system can handle high-traffic monitoring areas with manageable data volumes while preserving the essential flow analysis capabilities.
Data Source
AI summary
An image flow analyzing method with low datum storage and low datum computation is applied to a related camera device and a related camera system. The image flow analyzing method includes defining a monitoring region on a video image, detecting an input timing and an output timing of an object passing through the monitoring region, utilizing the input timing and the output timing to compute a first average staying amount and a first average staying period of the object within the monitoring region via a specific time length, and utilizing the first average staying amount and the first average staying period to compute a second average staying amount and a second average staying period of the object within a statistics range defined by several specific time lengths in accordance with an external command.