Multi-Target Trajectory Decomposition for Intersecting Path Recognition
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Solution Overview
Problem
Existing sensing technologies struggle to effectively identify and distinguish the trajectories of multiple targets in complex environments where trajectories intersect, leading to difficulties in viewing and recognizing multiple targets accurately.
Innovation Solution
A multi-target trajectory decomposition observation method that involves acquiring sensing signals to determine location information and signal energy, displaying sensing points on a map, and decomposing motion trajectories to characterize moving targets, enhancing the display and recognition of multiple targets by adjusting pixel values based on signal energy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If multiple targets are sensed and displayed on a map in complex environments, then the quantity of sensed information increases, but the difficulty of detecting and measuring trajectories increases due to intersecting paths
Solution Approach 1:
The patent applies segmentation by decomposing the sensing information of multiple targets into separate channels. Each target's trajectory is processed and displayed independently through channel division, which allows the system to handle multiple intersecting trajectories without confusion. The sensing information is segmented by target identifier, enabling clear distinction and measurement of each trajectory even in complex environments with many overlapping paths.
2Area of stationary object
If trajectories of multiple moving targets are displayed on a single map, then the area of display is efficient, but the reliability of trajectory identification decreases due to intersecting paths
Solution Approach 1:
The patent introduces channel information as an intermediary layer between the map display and trajectory identification. Each trajectory is associated with a unique channel identifier that acts as a mediator, allowing the system to maintain reliable identification of individual trajectories even when they visually intersect on the shared map display. The channel information serves as an additional dimension that disambiguates overlapping paths.
3Ease of operation
If sensing points are displayed based on location information only, then the ease of operation is simple, but the measurement precision of target identification decreases
Solution Approach 1:
The patent applies local quality by making the display characteristics of sensing points variable based on their associated channel information. Instead of uniform display for all targets, the system adjusts display properties such as color, brightness, or markers locally for each sensing point according to its channel identifier. This allows the display to remain simple in operation while achieving high precision in target identification through differentiated visual cues.
Data Source
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AI summary
A multi-target trajectory decomposition observation method, which comprises: obtaining a sensing signal at a present moment, and based on the sensing signal at the present moment, sensing the position information and signal energy of each of a plurality of targets; according to the position information and signal energy of each target, displaying on a map a sensing point for each target; based on the plurality of sensing points displayed at the present moment on the map and based on a plurality of historical sensing points displayed in a period of time preceding the present moment, determining motion trajectories, wherein each motion trajectory is used for representing one presently-moving target; and decomposing the sensing information of one or more sensed presently-moving targets to one or more channels for output.