Object tracking and segmentation in videos

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AltumView is a company that provides artificial intelligence and computer vision products and solutions for**businesses and consumers around the world. It focuses on design and manufacturing of machine vision**cameras, surveillance cameras, smart cameras with artificial intelligence and machine learning capabilities.**One area of interest for the company is object tracking and segmentation in videos. Given an input video, the**object of interest is manually annotated (either as a bounding box or a segmentation mask) on the first frame.**The goal is to track and segment this object of interest in every frame in the video. A reliable solution to object**tracking/segmentation can be used in many real-world applications. In this project, my research team will**develop new algorithms for object tracking/segmentation. The company can use the technologies developed in**this project to analyze the large amount of video data that it has access to.**We will study two specific problems in object tracking/segmentation. First, we will develop domain adaptation**techniques for object tracking/segmentation. This will allow us to adapt existing object detectors, so that the**object detector can work well on the specific object in the company's videos. Second, we will develop one-shot**learning approaches for object tracking/segmentation. This will allow us to track/segment an object even if we**do not have existing detectors for this object.**The expected outcomes of this project include new algorithms that can effectively track and segment objects in**any video. The company can use these algorithms to analyze the large amount of video data that it currently**has.