Essays about: "Person Re-Identification"
Showing result 1 - 5 of 8 essays containing the words Person Re-Identification.
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1. 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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2. Pedestrian Tracking by using Deep Neural Networks
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : This project aims at using deep learning to solve the pedestrian tracking problem for Autonomous driving usage. The research area is in the domain of computer vision and deep learning. Multi-Object Tracking (MOT) aims at tracking multiple targets simultaneously in a video data. READ MORE
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3. Person Re-Identification in the wild : Evaluation and application for soccer games using Deep Learning
University essay from Linköpings universitet/Statistik och maskininlärningAbstract : Person Re-Identification (ReID) is the process of associating images of the same person taken from different angles, cameras and at different times. The task is very challenging as a slight change in the appearance of the person can cause troubles in identifying them. READ MORE
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4. Pedestrian Multiple Object Tracking Using Deep Learning
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : In this thesis, the aim is to examine the viability of Deep Neural Network (DNN) based Multi-Object Tracking approaches for tracking pedestrians. The tracking results are used for Autonomous Driver Assistance System (ADAS). The process of tracking multiple agents across video is termed as Multiple Object Tracking (MOT). READ MORE
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5. Evaluation of Methods for Person Re-identification between Non-overlapping Surveillance Cameras
University essay from Linköpings universitet/Medie- och Informationsteknik; Linköpings universitet/Tekniska fakultetenAbstract : This thesis describes a comparison of several state-of-the-art methods used for re-identification of a person between several non-overlapping views captured by surveillance cameras. Since 2014, the focus of the area of person re-identification has been heavily oriented towards approaches employing the use of neural network due to the increase in performance shown from this approach. READ MORE
