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To enhance security and traffic monitoring, our system applies spatiotemporal frequency analysis to CCTV footage from street intersections.
The system segments video footage into grids, enabling precise spatiotemporal frequency analysis of traffic and pedestrian movement.
Each grid cell represents a specific area and time frame, allowing us to track changes in activity patterns dynamically.
The system continuously monitors and tracks vehicles and pedestrians, generating a heatmap visualization to highlight movement density.
This provides valuable insights into traffic congestion, pedestrian flow, and potential security threats.
Areas such as crosswalks and traffic lanes typically show high activity levels and are highlighted in the heatmap.
These zones are crucial for traffic control, pedestrian safety, and congestion management.
Conversely, low-activity areas may indicate potential intrusion zones, such as restricted areas or unexpected pedestrian movement in unauthorized zones.
By continuously analyzing these patterns, the system helps security personnel respond proactively to potential risks.
Through this advanced monitoring system, we can enhance urban safety by improving surveillance efficiency, detecting anomalies in real-time, and ensuring a proactive security approach. Next, I will explain how our system adapts to evolving environmental conditions.
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IEEE/ICACT20250047 Slide.10
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