Pedestrian Motion Trajectory Analysis for Scene-Specific Wandering Detection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing methods for pedestrian wandering behavior recognition do not consider different wandering motion modes in various scenes and lack targeted criteria based on motion trajectories, and existing research on crowd disturbance propagation primarily relies on crowd flow or density information without extracting dynamic characteristics from video image data.
Innovation Solution
A method and system for recognizing pedestrian wandering behavior by acquiring motion images, calculating motion centroids, constructing motion trajectories, and applying scene-specific wandering behavior criteria to analyze and recognize different wandering motion modes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a single-direction rollback detection method is used, then the detection process is simple, but the recognition accuracy of wandering behavior is insufficient
Solution Approach 1:
The patent segments the detection process into multiple directional rollback detections (front, back, left, right directions) rather than a single-direction approach. Each direction is detected independently using the same simple rollback mechanism, achieving comprehensive wandering behavior recognition while maintaining process simplicity through modularization.
Solution Approach 2:
The patent transitions from one-dimensional single-direction detection to multi-dimensional four-directional detection. By adding directional dimensions (front, back, left, right), the system achieves comprehensive wandering behavior recognition without significantly increasing overall system complexity, as each direction uses the same basic detection logic.
2Device complexity
If general wandering behavior criteria are used, then the system is simple to implement, but the recognition pertinence for different scenes is insufficient
Solution Approach 1:
The patent applies different wandering behavior criteria to different scenes based on local characteristics. Each scene is assigned specific criteria (e.g., indoor scenes use one set of criteria, outdoor scenes use another) to improve recognition pertinence. The system maintains overall simplicity by using a unified framework that adapts criteria locally rather than requiring completely different systems for each scene type.
Solution Approach 2:
The patent makes the wandering behavior criteria dynamic and adaptable to different scenes rather than static and fixed. The system can select appropriate criteria based on scene type, enabling the recognition system to adapt to varying environmental conditions while maintaining a relatively simple overall structure through dynamic configuration rather than complex hardcoding.
3Ease of manufacture
If crowd flow or density information is used for disturbance propagation analysis, then the analysis is straightforward, but the extraction of dynamic characteristics from video data is insufficient
Solution Approach 1:
The patent extracts dynamic characteristics (motion trajectory, velocity, acceleration) from video image data using computer vision technology. By taking out these key dynamic parameters from the video data, the system enables thorough disturbance propagation analysis while maintaining implementation ease through established computer vision algorithms rather than requiring complex custom processing.
Solution Approach 2:
The patent introduces motion trajectory and dynamic characteristics as intermediary parameters between video data and disturbance propagation analysis. These intermediaries bridge the gap between raw video information and analysis results, enabling comprehensive disturbance propagation study while keeping the implementation straightforward through standardized feature extraction methods.
Data Source
AI summary
A method for recognizing a wandering behavior of a pedestrian based on a motion trajectory includes: acquiring motion images of the pedestrian, recognizing motion centroids of the pedestrian based on the motion images, and constructing the motion trajectory of the pedestrian according to the motion centroids; and performing, according to pedestrian wandering behavior criteria, a wandering behavior recognition on the motion trajectory of the pedestrian to obtain a recognition result. Construction steps of the pedestrian wandering behavior criteria include: drawing, according to common wandering behaviors in public places, wandering motion trajectories appeared in different scenes; and analyzing wandering motion trajectories appeared in the different scenes to obtain the pedestrian wandering behavior criteria. The method considers the wandering motion trajectories in the different scenes, thereby improving pertinence of recognizing the wandering behavior of the pedestrian.