Video Surveillance Light Flicker Management via Frame Segmentation
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Solution Overview
Problem
Existing video surveillance systems face challenges in minimizing the impact of light flicker on monitoring effects, as the flicker can cause brightness changes in the monitoring environment, affecting the quality of the surveillance images.
Innovation Solution
The system controls the operation of a light associated with the monitoring equipment within a specific time period, processing target image frames to either discard or replace them, thereby minimizing the impact of light flicker on the surveillance images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the light is controlled to flicker within a candidate time period to provide a warning, then the warning function is achieved, but the brightness change caused by the light flicker affects the monitoring effect
Solution Approach 1:
The patent segments the image processing into multiple stages: obtaining image frames, determining target image frames based on time period analysis, and processing only those specific frames. This segmentation allows the system to handle the warning function and monitoring quality by treating different time periods differently - using light flicker for warning during candidate time periods while excluding those frames from monitoring output.
Solution Approach 2:
The patent applies local quality by selectively processing only the target image frames that correspond to the light flicker period, while leaving other frames unchanged. This localized approach ensures that the warning function is maintained through light control during specific time periods, while the monitoring quality is preserved in other time periods where light flicker does not occur.
2Object-affected harmful factors
If the light operation is controlled within a specific time period to minimize brightness change, then the monitoring effect is improved, but the warning function may be compromised
Solution Approach 1:
The patent performs preliminary action by determining the candidate time period and target image frames before actually processing the images. The system analyzes the time period when light flicker occurs and pre-identifies which image frames need to be processed, allowing the warning function to be maintained while preparing to exclude problematic frames from the monitoring output.
Solution Approach 2:
The patent uses an intermediary approach by introducing a time period analysis mechanism that acts as a mediator between the light control system and the image processing system. This intermediary determines which image frames correspond to the light flicker period and directs the processing to handle only those frames, thus maintaining the warning function while minimizing its impact on monitoring quality.
3Device complexity
If all image frames are processed without time period analysis, then the processing is simple, but the monitoring picture is affected by light flicker
Solution Approach 1:
The patent introduces dynamics by making the image processing adaptive to the time period. Instead of processing all frames uniformly, the system dynamically determines which frames are target frames based on the light flicker timing, and only processes those specific frames. This dynamic approach increases complexity but effectively eliminates light flicker impact on the monitoring picture.
Data Source
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AI summary
The present disclosure relates to systems (100) and methods for video surveillance. The systems (100) may obtain an initial time period (920) corresponding to at least part of a time period during which at least one target image frame is captured by the monitoring equipment (130) based on at least one parameter of a monitoring equipment (130). The systems (100) may obtain a warning scheme associated with the initial time period (520, 930). The warning scheme may include controlling an operation of a light associated with the monitoring equipment (130) within at least one candidate time period in the initial time period (950) and processing the at least one target image frame (960).