Target Position Detection Using Motion Trajectory and Point Clouds
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Solution Overview
Problem
Existing technologies fail to accurately acquire position information of target objects in smart home spaces, leading to ineffective smart home services and reduced user experience.
Innovation Solution
A target detection method that includes displaying a target detection page, acquiring position information through motion trajectory data, and displaying real-time position markers based on this information, along with a device control method that utilizes point cloud data frames and historical motion trajectories to determine and control device automation based on object actions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional detection methods are used to acquire position information, then the system is simple to implement, but the position detection accuracy is insufficient
Solution Approach 1:
The detection system is segmented into multiple independent modules: point cloud data acquisition module, trajectory prediction module, position calculation module, and display module. Each module performs a specific function, allowing the system to achieve high detection accuracy through specialized processing while maintaining manageable complexity through modular design.
Solution Approach 2:
The system performs preliminary actions by pre-collecting point cloud data and pre-calculating motion trajectories before actual position detection is needed. Historical trajectory data is stored and used as the basis for predicting current position, which improves detection accuracy by incorporating temporal motion patterns rather than relying solely on instantaneous measurements.
2Ease of operation
If real-time position tracking is implemented, then user experience is improved, but system resource consumption increases
Solution Approach 1:
Instead of continuous real-time tracking, the system implements periodic position updates based on predicted trajectories. The trajectory prediction module calculates future positions at predetermined time intervals, and position markers are updated periodically rather than continuously. This reduces computational load and energy consumption while still providing timely position information to improve user experience.
Solution Approach 2:
The system creates a virtual copy of the target object's motion trajectory based on historical point cloud data and predicts future positions along this trajectory copy. Rather than processing actual real-time sensor data continuously, the system works with a predicted trajectory model that approximates the object's motion, significantly reducing computational resources while maintaining acceptable tracking accuracy.
3Measurement precision
If motion trajectory data is used to determine position information, then detection accuracy is improved, but data processing complexity increases
Solution Approach 1:
The system extracts only the essential features from point cloud data that are necessary for trajectory prediction, such as key position coordinates and motion vectors. Rather than processing complete point cloud datasets, the extraction module identifies and isolates the critical data elements needed for position calculation, reducing processing complexity while maintaining the accuracy benefits of trajectory-based detection.
Solution Approach 2:
The system transforms raw point cloud data into simplified trajectory parameters through coordinate system transformations and feature extraction. By changing the representation parameters from dense point cloud coordinates to streamlined trajectory descriptors (such as position, velocity, and acceleration vectors), the system achieves accurate position determination with reduced computational complexity in subsequent processing stages.
Data Source
AI summary
The present disclosure relates to a target detection method, a device control method, and a computer device. Specifically, the target detection method includes: 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 marker corresponding to the target object, wherein a page position of the position marker is determined based on the position information of the target object in the target space.