Motion Detection Method Using Time Domain Filtering for Intermittent Events
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Solution Overview
Problem
Conventional motion detection methods in monitoring cameras struggle to accurately identify slow or intermittent object movements, often resulting in false alarms and increased burdens due to noise and transient events.
Innovation Solution
A motion detection method that utilizes a time domain filter to merge short-duration events and adjust detection periods based on filtering and merging thresholds, ensuring accurate identification of object movements without frequent system shutdowns or unnecessary actuations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional motion detection function is used to detect object movement, then basic motion detection capability is provided, but detection accuracy deteriorates when object moves slowly or intermittently
Solution Approach 1:
The patent merges multiple detection events by comparing time differences between consecutive events. When the time difference between a first detection event and a second detection event is less than a threshold, the events are merged into a single detection record. This prevents intermittent motions from being misidentified as separate events and improves detection accuracy for slow or intermittent object movements.
2Productivity
If conventional motion detection marks contour and detects motion, then basic detection function is achieved, but false alarms increase due to noise and unnecessary objects
Solution Approach 1:
The patent implements a feedback mechanism where detection results are continuously evaluated and used to adjust detection parameters. The system compares time differences between detection events and uses this feedback to determine whether to merge events or generate alarms. This feedback loop reduces false alarms caused by noise while maintaining efficient operation by avoiding unnecessary processing of transient detections.
3Reliability
If motion detection function frequently activates for transient events, then comprehensive detection coverage is achieved, but system burden increases due to frequent shutdown and restart
Solution Approach 1:
The patent performs preliminary analysis of detection events by comparing time differences before triggering system activation. By evaluating whether the time difference between events exceeds a threshold before activating the system, transient events are filtered out in advance. This preliminary action prevents unnecessary system shutdowns and restarts, reducing operational complexity while maintaining comprehensive detection coverage for genuine motions.
Data Source
AI summary
A motion detection method is applied to a monitoring camera apparatus with motion detection function. The motion detection method includes analyzing a pixel value of each frame from a video stream changed over time, defining a first period and a second period having the pixel value greater than a triggering threshold respectively as a first event and a second event, comparing a time length of the first period with a filtering threshold to acquire time difference between an end point of the first period and a beginning point of the second period, comparing the time difference with a merging threshold, and acquiring relation between the first event and the second event according to comparison results of the filtering threshold and the merging threshold, so as to determine a detecting period of the motion detection function for actuation.