Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 12 of 12 for “"multi object tracking"”.
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Improved 2D Camera-Based Multi-Object Tracking for Autonomous Vehicles
Effective multi-object tracking is crucial for autonomous vehicles to navigate safely and efficiently in dynamic environments. To make autonomous vehicles more affordable one area to address is the computational limitations of the sensors, therefore, cameras are often the first choice sensor. Three …
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Long-term multi-object tracking in indoor environments using network flows
This thesis presents a system for long-term tracking of multiple people in indoor environments using a min cost flow algorithm to optimize the association of short-term tracklets. This system is built on top of an existing RF-based indoor localization system called WiTrack, which is able to track a …
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A Comprehensive Mapping and Real-World Evaluation of Multi-Object Tracking on Automated Vehicles
<p>Multi-Object Tracking (MOT) is a field critical to Automated Vehicle (AV) perception systems. However, it is large, complex, spans research fields, and lacks resources for integration with real sensors and implementation on AVs. Factors such those make it difficult for new researchers and …
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Cross-classification clustering : multi-object tracking technique for 3-D instance segmentation in connectomics
… that simultaneously tracks complex, interrelated objects in an image stack. The key idea in cross-classification is to efficiently turn a clustering problem into a classification problem by running a logarithmic number of independent classifications per image, letting the cross-labeling of these …
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Online multi-person tracking using feature-less location measurements
This thesis presents a scalable real-time multi-object tracking system based on feature-less location measurements. The thesis introduces a two-stage object tracking algorithm along with a server infrastructure that allows users to view the tracking results live, replay old frames, or compute …
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Advancing 3D Segmentation: Deep Learning Techniques for Video and Medical Imaging
… chapters, delves into video shadow segmentation, object detection and segmentation in traffic videos, and multi-object tracking in traffic videos. These chapters collectively (Chapter 2) introduce a novel framework SCOTCH and SODA, leveraging Transformer models for video shadow segmentation, …
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A Graph Convolutional Neural Network Based Approach for Object Tracking Using Augmented Detections With Optical Flow
This thesis presents a novel method for online Multi-Object Tracking (MOT) using Graph Convolutional Neural Network (GCNN) based feature extraction and end-to-end feature matching for object association. The Graph based approach incorporates both appearance and geometry of objects at past frames as …
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Stochastic Modelling and Approximate Bayesian Inference: Applications in Object Tracking and Intent Analysis
… Chapters 4, 5, and 6. Driven by applications in object tracking and intent inference, the developed methodologies aim to accurately capture desired motion characteristics while enhancing the effectiveness, efficiency, and robustness of estimations. The applications of intent inference and single …
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HUMAN ACTIVITY RECOGNITION FROM EGOCENTRIC VIDEOS AND ROBUSTNESS ANALYSIS OF DEEP NEURAL NETWORKS
… based models provide improved accuracy in multiple fields in computer vision. However, there has been relatively less work focusing on designing specific models to improve the performance of egocentric image/video tasks. As deep neural networks keep improving the accuracy in computer vision …
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Improving manufacturing operations using deep learning: Multi-faceted research in monitoring, diagnosis, and optimization
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2025-03-28 without embargo terms