Optimizing Point Cloud Algorithms for Accurate People Counting

This document provides a comprehensive guide for tuning point cloud algorithms to accurately detect and count people in various settings. The guide includes detailed information on parameter settings, preprocessing techniques, and post-processing strategies. Special attention is paid to optimizing the algorithms for challenging scenarios, such as crowded environments and low-light conditions. By following the recommendations outlined in this guide, you can improve the accuracy and reliability of your people counting system.