Investigates Image data fusion techniques and video analytics that combine image and track data from multiple sensors to achieve improved accuracies and more specific inferences than could be achieved by using a single sensor alone. We aim to explore the state-of-the-art image processing and computer vision algorithms for achieving effective enhancement, detection, tracking, classification, recognition, video summarization, and generative AI as shown here with examples and demos.