Essays about: "person detection"
Showing result 11 - 15 of 96 essays containing the words person detection.
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11. Multi-Camera Multi-Person Tracking Using Reinforcement Learning
University essay from Lunds universitet/Matematik LTHAbstract : The problem of multi-object-tracking in a network of cameras is an interesting and non-trivial problem. Given videos from a number of cameras the goal of Multi-Camera Multi-Object Tracking (MCMOT) is to find the full visible trajectory of each pedestrian from the videos as the pedestrians move across cameras. READ MORE
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12. Tensor Decompositions of EEG Signals for Transfer Learning Applications
University essay from Lunds universitet/Institutionen för reglerteknikAbstract : In this report, tensor decomposition methods of EEG signals have been evaluated for the purpose of transfer learning. The aim has been to address the person-to-person Brain-Computer Interface (BCI) calibration problem by transferring training data between sessions, which can shorten calibration times, extend the amount of training data, and enable using data from simulated environments in real world applications. READ MORE
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13. Emotion recognition with Deep Learning and its correlation with veracity
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : Emotion recognition is an interesting and important field of study in many professional fieldssuch as medicine and law enforcement. This topic of study has many different challenges toexplore and we chose a few of these to expand upon. READ MORE
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14. Deep Learning Semantic Segmentation of 3D Point Cloud Data from a Photon Counting LiDAR
University essay from Linköpings universitet/DatorseendeAbstract : Deep learning has shown to be successful on the task of semantic segmentation of three-dimensional (3D) point clouds, which has many interesting use cases in areas such as autonomous driving and defense applications. A common type of sensor used for collecting 3D point cloud data is Light Detection and Ranging (LiDAR) sensors. READ MORE
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15. A Quantitative Microbial Risk Assessment Associated with Cross-Connections in the Drinking Water Network in Combination with Hydraulic Modeling
University essay from Uppsala universitet/Institutionen för geovetenskaperAbstract : Drinking water companies have the technology and responsibility to deliver safe and high-quality drinking water to the water distribution systems network (WDN). However, many events within the WDN, such as cross-connections and backflow, might degrade water quality and pose public health risks to consumers. READ MORE