Motion Trajectory Target Detection for Closely Spaced Objects
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Solution Overview
Problem
Existing smart home technologies struggle to accurately track and distinguish multiple closely spaced objects, leading to ineffective smart home services and deteriorated user experience due to clustering of objects into one trajectory.
Innovation Solution
A target detection method that utilizes motion trajectory data from point cloud information to accurately determine the position of each object in a space, displaying a real-time position marker based on updated trajectory data to prevent location confusion.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If radar equipment clusters target objects in a target space, then the detection process is simplified, but closely spaced objects are merged into one cluster, reducing positioning accuracy
Solution Approach 1:
The patent segments the detection process into two distinct stages: first clustering objects to reduce complexity, then performing precise positioning on each clustered object. This segmentation allows the system to benefit from both simplified processing and accurate measurement by applying different methods at different levels of the detection hierarchy.
Solution Approach 2:
The patent introduces a hierarchical dimension to the detection process, moving from spatial clustering in the physical domain to individual object tracking in a logical/algorithmic domain. This dimensional transition allows the system to manage complexity while preserving measurement precision through multi-level processing.
2Productivity
If multiple objects are clustered into one trajectory, then tracking computation is reduced, but individual object trajectories cannot be captured, deteriorating user experience
Solution Approach 1:
The patent segments trajectory tracking into cluster-level tracking and individual object tracking. The system first tracks the cluster as a whole to maintain computational efficiency, then segments the tracking process to capture individual object trajectories within the cluster, preventing information loss while maintaining productivity.
Solution Approach 2:
The patent introduces an intermediary clustering layer that acts as a mediator between individual objects and the tracking system. This intermediary structure allows the system to process objects efficiently in groups while still capturing individual trajectories through the cluster, balancing computation efficiency with information preservation.
3Area of stationary object
If closely spaced objects are detected using traditional clustering, then the detection range is expanded, but the ability to distinguish and locate individual objects deteriorates
Solution Approach 1:
The patent adds a hierarchical dimension to the detection space, organizing objects into clusters at one level and individual objects at another level. This dimensional structure allows the system to maintain broad detection coverage while achieving precise individual object location through the multi-level organizational framework.
Solution Approach 2:
The patent segments the detection space into cluster regions and individual object regions. By dividing the detection area into hierarchical segments, the system can efficiently monitor large areas through clustering while simultaneously maintaining precise location accuracy for individual objects within each segment.
Data Source
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AI summary
The present disclosure relates to a target detection method and apparatus, a device, and a computer-readable storage medium. Specifically, the method comprises: displaying a target detection page; acquiring position information of a target object in a target space, wherein the position information is determined by motion trajectory data of the target object in the target space; and, in the target detection page, displaying in real time a position mark corresponding to the target object, wherein the page position of the position mark is determined on the basis of the position information of the target object in the target space.