Multi-dimensional Virtual Beam for Video Object Detection
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Solution Overview
Problem
Physical security systems and video surveillance technologies face issues with false alarms due to the static nature of virtual tripwires and regions of interest, which can be triggered by non-relevant objects or movements, leading to unnecessary alerts and reduced detection accuracy.
Innovation Solution
Implementing multi-dimensional virtual beams that can be two-dimensional or three-dimensional to define detection zones within the field of view of a video camera, allowing for continuous tracking of objects as they enter and exit the zone, thereby reducing false alarms by only triggering events when the object completely crosses the defined area.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If a virtual tripwire or ROI is used for object detection, then the system can automatically trigger events when objects cross or enter the defined area, but false alarms occur when non-relevant objects or partial object crossings trigger unnecessary alerts
Solution Approach 1:
The patent transitions from two-dimensional virtual tripwires and ROIs to three-dimensional virtual beams. The virtual beam defines a volumetric detection zone with entrance and exit sides, allowing the system to distinguish between objects that completely cross the zone versus those that merely enter or partially intersect it. This dimensional enhancement resolves false alarms by requiring objects to traverse the entire 3D volume to trigger an event.
2Stability of the object's composition
If a static virtual tripwire or ROI is defined, then the detection zone remains fixed in position and shape, but the system cannot adapt to objects moving in different directions or patterns
Solution Approach 1:
The patent implements dynamic virtual beams that can be repositioned and reconfigured based on detected object movement patterns. The system learns from observed trajectories and automatically adjusts the virtual beam's position, orientation, and dimensions to optimize detection of objects moving in different directions. This dynamic adaptation maintains a stable detection framework while enhancing versatility for various movement patterns.
3Measurement precision
If a small ROI is used to detect specific object crossings, then the detection precision is improved, but the system may miss objects that do not follow a straight path or wander around
Solution Approach 1:
The patent segments the detection process into multiple stages: initial object detection, trajectory tracking, and conditional event triggering. The virtual beam acts as a gate that objects must fully traverse to trigger an event, while the system simultaneously tracks object trajectories. This segmentation allows the system to maintain precise detection thresholds while identifying wandering or non-linear movement patterns that should still trigger events after sufficient traversal.
Data Source
AI summary
Video analytics is used to track an object of interest represented in video data representing the field of view of a scene observed by a video camera. A multidimensional virtual beam is used to detect whether the tracked object of interest is continually present in a detection zone within the field view of the scene. An occurrence of an event is signaled when the tracked object of interest is continually present in the detection zone during a period beginning when the tracked object of interest enters the detection zone and ending when the tracked object of interest leaves the detection zone through the opposite side, after having completely crossed through the detection zone. Use of a virtual beam detection zone reduces false alarms as compared to the numbers of incidences of false alarms of traditional detection methods, while adding several features and benefits.