AI-Powered Video Analytics: Unlocking Insights from Visual Data
AI video surveillance is transforming how we interact with the world around us. At its core lies video analytics, the process of extracting meaningful information from visual data. This presentation delves into the technical underpinnings of this technology, exploring how algorithms analyze video content to generate valuable insights. Components of AI Video Analytics Image Preprocessing: Noise reduction and image enhancement Object detection and localization Feature extraction (color, texture, shape) Computer Vision Techniques: Object tracking and motion analysis Optical flow estimation Image registration and stitching Machine Learning Algorithms: Classification (identifying objects, people, actions) Object recognition (matching objects to a database) Anomaly detection (identifying unusual patterns) Deep Learning Architectures: Convolutional Neural Networks (CNNs) for image recognition Convolutional Neural Network (CNN) in Machine Learning Recu...
