Optimize Algorithmic Efficiency

[Blindspot22]

Description:

• Review and optimize the algorithms used in the system to reduce computational complexity, improving both speed and accuracy.

Implementation Steps:

• Analyze the current algorithms for background subtraction, contour detection, and bounding box visualization to identify inefficiencies or redundancies.
• Explore alternative algorithms or optimizations, such as using approximations or simplified models, to achieve similar results with lower computational cost.
• Implement algorithmic enhancements like adaptive thresholding, dynamic contour filtering, or region-based processing to reduce the number of operations per frame.
• Evaluate the trade-offs between accuracy and performance, ensuring that optimizations do not significantly degrade the quality of detection and visualization.
• Test the optimized algorithms across a variety of video sources and conditions, verifying that they consistently improve performance without sacrificing accuracy.