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 20 of 153 for “"Object tracking"”.
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Visual object tracking
Visual object tracking is a critical task in many computer-vision-related applications, such as surveillance and robotics. If the tracking target is provided in the first frame of a video, the tracker will predict the location and the shape of the target in the following frames. Despite the …
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Object tracking in distributed systems
Object mobility (or process migration) is a very important feature in modern distributed systems. By allowing objects to migrate from one machine to another preemptively, the sys-tem can provide several benefits. These include sharing load, reducing communication cost, increasing availability, and …
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Object tracking and fetal signal monitoring
This dissertation focuses on detecting and tracking small objects in complex backgrounds and on classifying ultra-sound fetal movement signals. The first part of this dissertation focuses on detecting and tracking laser spots which are small objects in a video frames. Many factors make this …
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Object tracking in mmWave radar networks
… enable new services such as localization and tracking of objects within existing wireless communication networks like cellular mobile, Wi-Fi, and radio. To ensure these services are also available in the evolving millimeter wave (mmWave) communication infrastructure, it is important to develop …
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Learning deformable shape models for object tracking
The use of computer vision to locate or track objects in images has applications in a diversity of domains. It is generally recognised that the analysis of objects of interest is eased significantly by making use of models of objects. In many cases, the strongest visual feature of an object is its …
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Object Tracking: Appearance Modeling And Feature Learning
<p>Object tracking in real scenes is an important problem in computer vision due to increasing usage of tracking systems day in and day out in various applications such as surveillance, security, monitoring and robotic vision. Object tracking is the process of locating objects of interest in every …
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Feature-based object tracking in maritime scenes.
… of presence, location and activity of various objects on the sea is essential for maritime navigation and collision avoidance. Mariners normally rely on two complementary methods of the monitoring: radar and satellite-based aids and human observation. Though radar aids are relatively accurate …
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Robust Object Tracking Based on Multiple Cues
A real-time multiple-speaker tracking system based on sound source localization, color-blob, and object contour validate the efficacy of the proposed fusion framework.
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Modern Bayesian Object Tracking: Challenges and Solutions
Target tracking is a challenging problem with a wide range of applications such as surveillance, robotics, and autonomous vehicles. Recent years have seen significant progress in the field of object tracking; nonetheless, there are still numerous challenges that need to be addressed in modern …
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Surface Gesture & Object Tracking on Tabletop Devices
… is the design and realization of visio-based tracking software that could be used in a classroom. Our implementation offers three modes of interaction making it easier to study the children's behaviors in specific situations and constraints. The "MirrorTrack Project" is an idea described in …
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Robust Video Object Tracking via Camera Self-calibration
… 3D scene reconstruction based on robust video object tracking assisted by camera self-calibration is proposed, which includes several algorithmic components. (1) An algorithm for joint camera self-calibration and automatic radial distortion correction based on tracking of walking persons is …
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A dynamic key frames approach to object tracking
In this thesis, I present a dynamic key frames algorithm for state estimation from observations. The algorithm uses KL-divergence as a metric to identify the frames that contribute the most information to estimation of the system's current state. The algorithm is first presented in a numerical …
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Dynamic object tracking and classification from a moving platform
This thesis presents an object-level SLAM system capable of tracking objects in frame and classifying stationary and moving objects. The system combines two open-source algorithms, Mask R-CNN and ORB-SLAM. Mask R-CNN provides instance-level object detection and segmentation, while ORB-SLAM provides …
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Dynamically parallel CAMSHIFT: GPU accelerated object tracking in digital video
<p>"The CAMSHIFT algorithm is widely used for tracking dynamically sized and positioned objects in real-time applications. In spite of its extensive study on the platform of sequential CPU, its research on massively parallel Graphical Processing Unit (GPU) platform is quite limited. In this work, …
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Sensetable : a wireless object tracking platform for tangible user interfaces
… positions and orientations of multiple wireless objects on a tabletop display surface. The system offers two types of improvements over existing tracking approaches such as computer vision. First, the system tracks objects quickly and accurately without susceptibility to occlusion or changes in …
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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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