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 19 of 19 for “"Object detection and tracking"”.
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Object Detection and Tracking Using Uncalibrated Cameras
This thesis considers the problem of tracking an object in world coordinates using measurements obtained from multiple uncalibrated cameras. A general approach to track the location of a target involves different phases including calibrating the camera, detecting the object's feature points over …
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High-performance Object Detection and Tracking Using Deep Learning
Human detection and tracking are two fundamental problems in computer vision, which have been cornerstones for many real-world applications such as video surveillance, intelligent transportation systems and autonomous driving. Benefiting from deep learning technologies such as convolutional neural …
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Moving object detection and tracking for event-based video analysis
… computer vision community towards video understanding, in particular towards visual event recognition...This dissertation surveys different taxonomies of motion understanding problems, identifies the major components in an automated visual event recognition system, and presents the challenges …
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Optimization Techniques for Multi-object Detection and Tracking on Live-cell Fluorescence Microscopy Images and Their Applications
… technique to visualize biological processes and has been extensively utilized in live-cell morphology analysis. Despite its utility, related object detection and tracking tasks still face challenges due to large data scales, inferior data quality, and insufficient annotations, leading to …
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Multi-Modal Data Fusion, Image Segmentation, and Object Identification using Unsupervised Machine Learning: Conception, Validation, Applications, and a Basis for Multi-Modal Object Detection and Tracking
<p>Remote sensing and instrumentation is constantly improving and increasing in capability. Included within this, is the increase in amount of different instrument types, with various combinations of spatial and spectral resolutions, pointing angles, and various other instrument-specific qualities. …
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ENERGY-EFFICIENT LIGHTWEIGHT ALGORITHMS FOR EMBEDDED SMART CAMERAS: DESIGN, IMPLEMENTATION AND PERFORMANCE ANALYSIS
<p>An embedded smart camera is a stand-alone unit that not only captures images, but also includes a processor, memory and communication interface. Battery-powered, embedded smart cameras introduce many additional challenges since they have very limited resources, such as energy, processing power …
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Objects Detection and Tracking Using mmWave Technologies
… of intelligent sensors, controlling buildings and factories autonomously has become both economical and straightforward. However, the central concern in this field remains to identify effective detecting and tracking mechanisms to make real-time decisions and overcome environmental challenges. …
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Autonomous vehicles that understand road agents: Detection, tracking, and behavior prediction
Object detection, object tracking and behavior prediction are three fundamental problems towards human-level road agent understanding. In this thesis, we introduce a joint object detection and tracking model for real-time autonomous driving applications. Comparison with two state-of-the-art models …
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A Deep Learning Approach to the Detection and Tracking of Moving Objects in 2D Point Clouds
The detection and tracking of moving objects (DATMO) are crucial tasks that any autonomous vehicle must perform. Autonomous vehicles must detect and track all obstacles to ensure safety within the environment while also completing their tasks efficiently. In autonomous driving research, LiDAR is …
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Deep learning in sequential data analysis
… great success in recent years in computer vision and its related areas. For core computer vision tasks such as image classification, image semantic segmentation, image super-resolution, and object detection from images, deep learning based methods outperform various traditional methods in terms of …
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Vehicle tracking and speed estimation for traffic surveillance
Vehicle tracking is one of the critical applications of object detection and tracking. Traffic surveillance has become crucial in this day and age where the number of vehicles on the road has risen considerably. To preserve the safety of motorists, traffic law enforcement assign speed limits at …
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A Cyclist Detection and Tracking System for Heavy Goods Vehicles
Summary Thesis title: A Cyclist Detection and Tracking System for Heavy Goods Vehicles Author: Yan KE Heavy Goods Vehicles (HGVs) contribute to a large portion of collisions with cyclists, and a disproportionate number of these are caused by construction vehicles. Among all these collisions, the …
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A spatial display for Ground-Penetrating Radar change detection
… Radar (GPR) enables the exploration and mapping of subterranean volumes for applications such as construction, humanitarian demining, archeology, and environmental science. In each of these applications, special signal processing pipelines have been developed to reduce noise and …
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Biologically inspired composite image sensor for deep field target tracking
… image sensors are still in their infancy and as such have not been fully investigated for their unique qualities nor have they been extensively applied in practice. In this dissertation a system has been developed that can perform vision tasks in both the far field and the near field. In …
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A Real-Time Computer Vision Based Framework For Urban Traffic Safety Assessment and Driver Behavior Modeling Using Virtual Traffic Lanes
Vehicle recognition and trajectory tracking plays an integral role in many aspects of Intelligent Transportation Systems (ITS) applications; from behavioral modeling and car-following analyses to congestion prevention, crash prediction, dynamic signal timing, and active traffic management. This …
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Intelligent video surveillance
In the focus of this thesis are the new and modified algorithms for object detection, recognition and tracking within the context of video analytics. The manual video surveillance has been proven to have low effectiveness and, at the same time, high expense because of the need in manual labour of …
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Vision based system for detecting and counting mobility aids in surveillance videos
… analysis of videos which is tiresome, expensive, and time-consuming. Image and video processing techniques are often used in the design of automatic detection and monitoring systems. Compared with normal indoor videos, outdoor surveillance videos are often difficult to process due to the …
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Efficiently Searching for Objects Within Large Collections of Images and Video
Images and videos are now ubiquitously captured and collected. Cameras in our phones let us capture our day to day, camera drones help engineers monitor structures and map terrain. Video conferencing is a key enabler of remote work and distributed teams. Video and images are also a key part of …