In today’s world, video and video analytics software have become integral to public spaces like retail centers, shopping malls, airports, and roadways. Over the last four decades, advancements in computer vision and related fields have been driven by collaboration among researchers, governments, and the public. One key catalyst for this progress is the massive volume of video data generated in public spaces. Leveraging this data, video analytics has evolved to meet diverse needs across industries, with Artificial Intelligence (AI) and Machine Learning (ML) at its core.