Climbing Behavior Detection Using Tempo-Spatial Video Analysis
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Solution Overview
Problem
Current video surveillance systems for monitoring climbing behaviors in scenic spots suffer from low accuracy due to human fatigue and the accidental nature of uncivilized behaviors, leading to inefficient early warning systems.
Innovation Solution
A method and apparatus that acquire video image data to determine when an object enters a target area, analyze tempo-spatial relations, and mark video frames indicating climbing behavior, using modules for data acquisition, behavior information processing, and early warning generation to improve detection efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If security personnel manually monitor video screens in real-time to detect climbing behaviors, then the system can identify uncivilized behaviors, but the accuracy of early warning deteriorates due to human fatigue and the accidental nature of climbing behaviors
Solution Approach 1:
The patent replaces the mechanical human monitoring system with an automated computer vision system that uses video image data processing and tempo-spatial relation analysis to detect climbing behaviors, eliminating human fatigue and improving both detection accuracy and warning reliability
Solution Approach 2:
The system enables self-service monitoring by automatically analyzing video frames, identifying objects in target areas, and generating early warnings without requiring continuous human intervention, allowing the system to maintain high accuracy over extended periods
2Area of stationary object
If multiple video scenes are monitored simultaneously by security personnel, then comprehensive coverage is achieved, but the complexity of operation increases and accuracy decreases due to human limitations
Solution Approach 1:
The patent divides the monitoring system into modular components including video data acquisition modules, tempo-spatial relation analysis modules, and early warning generation modules, allowing each to process specific aspects of multiple scenes independently and efficiently
Solution Approach 2:
The automated system provides multi-functional capability to handle multiple video scenes simultaneously through a unified processing framework that can identify objects, analyze their tempo-spatial relations, and generate warnings across all monitored areas without increasing operational complexity
3Measurement precision
If automated video analysis is implemented to detect climbing behaviors, then detection accuracy improves, but the device complexity increases due to tempo-spatial relation analysis requirements
Solution Approach 1:
The system performs preliminary actions by pre-defining target areas around monitored objects and establishing tempo-spatial relation criteria before actual climbing detection begins, simplifying the real-time analysis process while maintaining high detection accuracy
Solution Approach 2:
The patent introduces tempo-spatial relation analysis as an intermediary layer between raw video data and climbing behavior detection, breaking down the complex detection task into manageable steps that analyze temporal and spatial characteristics separately before synthesizing the final detection result
Data Source
AI summary
A method and an apparatus for early warning of climbing behaviors, an electronic device, and a storage medium are disclosed. The method includes: acquiring video image data including a monitored target and at least one object (11); acquiring behavior information of the at least one object when it is determined that the at least one object enters a target area corresponding to the monitored target (12); marking video frames in which the at least one object is included when it is determined that the behavior information indicates that the at least one object climbs the monitored target (13). By marking the video frames in the video image data, the behavior of the object climbing the monitored target can be found in time, and the management efficiency can be improved.