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certain corridor using two defined windows

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certain corridor using two defined windows

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This program is designed to count the number of people passing through a specific corridor by analyzing footage from two defined windows or regions of interest (ROIs). The approach leverages motion detection techniques to track individuals moving within these predefined areas.

The core logic involves monitoring changes between consecutive frames within the selected windows. When motion is detected, the system tracks movement direction (e.g., left to right or vice versa) to distinguish between entries and exits. By processing both windows independently, the algorithm ensures accurate counting by avoiding double-counting or missed detections.

Potential challenges include handling occlusions, varying lighting conditions, or overlapping individuals. Advanced implementations may incorporate background subtraction, optical flow, or deep learning-based object detection for higher accuracy in crowded environments.

This method is particularly useful for passive crowd monitoring in spaces like retail stores, offices, or public buildings where understanding foot traffic patterns is valuable for space utilization analysis.