Essays about: "DeepSORT"
Found 4 essays containing the word DeepSORT.
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1. Biodiversity Monitoring Using Machine Learning for Animal Detection and Tracking
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : As an important indicator of biodiversity and ecological environment in a region, the number and distribution of animals has been given more and more attention by agencies such as nature reserves, wetland parks, and animal protection supervision departments. To protect biodiversity, we need to be able to detect and track the movement of animals to understand which animals are visiting the space. READ MORE
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2. Comparison of camera data types for AI tracking of humans in indoor combat training
University essay from Jönköping University/JTH, Avdelningen för datavetenskapAbstract : Multiple object tracking (MOT) can be an efficient tool for finding patterns in video monitoring data. In this thesis, we investigate which type of video data works best for MOT in an indoor combat training scenario. The three types of camera data evaluated are color data, near-infrared (NIR) data, and depth data. READ MORE
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3. OSPREY: Person Re-Identification in the sport of Padel : Utilizing One-Shot Person Re-identification with locally aware transformers to improve tracking
University essay from Jönköping University/Jönköping AI Lab (JAIL)Abstract : This thesis is concerned with the topic of person re-identification. Many tracking algorithms today cannot keep track of players reentering the scene from different angles and times. Therefore, in this thesis, current literature is explored to gather information about the topic, and a current state-of-the-art model is tested. READ MORE
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4. Use of improved Deep Learning and DeepSORT for Vehicle estimation
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Intelligent Traffic System (ITS) has high application value in nowadays vehicle surveillance and future applications such as automated driving. The crucial part of ITS is to detect and track vehicles in real-time video stream with high accuracy and low GPU consumption. READ MORE