Object-Triggered Recording Control for Traffic Event Video
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Solution Overview
Problem
Existing recording technologies struggle to capture relevant video images in dynamic environments, such as traffic scenes, and inefficiently utilize storage capacity for event recording.
Innovation Solution
A recording control apparatus that includes a captured data acquisition unit, event detection unit, and recording control unit to dynamically adjust the recording period based on detected events and objects, such as license plates or people, ensuring relevant video images are stored efficiently.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a predetermined fixed value is used for the duration of the event video image recording period, then the recording system is simple to operate, but useful contents for finding out about traffic trouble situations cannot be obtained when the fixed duration is insufficient
Solution Approach 1:
The patent applies dynamics by transitioning from a fixed recording duration to a dynamically adjustable duration. The recording period is extended when specific objects (license plates, pedestrians, cyclists) are detected in the video stream, allowing the system to adapt to varying traffic situation requirements while maintaining simple operation through automated detection algorithms
2Loss of information
If video image analysis processing is used to dynamically set the recording period, then the recording can be extended to capture more content, but the system complexity increases and false detection occurs in dynamic environments
Solution Approach 1:
The patent introduces an intermediary object detection mechanism that acts as a mediator between the video stream and the recording control system. By detecting specific traffic-related objects (license plates, pedestrians, cyclists) as intermediaries, the system can extend recording periods based on meaningful criteria rather than complex general motion analysis, reducing false detections while maintaining completeness
Solution Approach 2:
The patent changes the detection parameter from general motion detection to specific object type detection. By focusing on detecting particular objects (license plates, pedestrians, cyclists) rather than analyzing all motion, the system reduces computational complexity and false positives while still achieving comprehensive event coverage
3Loss of information
If motion detection is used to determine the recording period, then the recording captures all moving content, but it cannot distinguish between relevant traffic events and irrelevant motion such as wind-blown trees
Solution Approach 1:
The patent applies local quality by making the recording extension dependent on the detection of specific locally-relevant objects rather than global motion. The system selectively extends recording based on the presence of traffic-significant objects (license plates, pedestrians, cyclists) in specific regions of interest, rather than recording all motion uniformly, thus improving storage efficiency while maintaining event completeness
Data Source
AI summary
A recording control apparatus includes: a captured data acquisition unit configured to acquire captured data from an image capturing apparatus; an event detection unit configured to detect an occurrence of an event; a captured data analysis unit configured to analyze the captured data and thereby detect a predetermined object included in the captured data; and a recording control unit configured to store, as event recording data, the captured data including a video image at a point in time when the event has occurred and the captured data including a video image at a point in time when the object has been detected.