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 38 for “"Object segmentation"”.
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Automated Object Segmentation in Existing Industrial Facilities
Shape segmentation from point cloud data is a core step of the digital twinning process for industrial facilities. However, this process is labour-intensive with 90% of the cost being spent on converting point cloud data to a model. This counteracts the perceived value of the resulting model in …
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Learning static object segmentation from motion segmentation
This thesis describes the SANE (Segmentation According to Natural Examples) algorithm for learning to segment objects in static images from video data. SANE uses background subtraction to find the segmentation of moving objects in videos. This provides object segmentation information for each video …
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Towards Robust Object Segmentation in Video Sequences and its Applications
Objektsegmentierung ist eines der grundlegenden Probleme in der Bildverarbeitung und Computervision, da sie eine Vorstufe für viele Aufgaben der Objektanalyse und Anwendungen darstellt. Viele Verfahren der Objektanalyse wie zum Beispiel die Objekterkennung sind auf eine genaue Segmentierung der …
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Benchmarking convolutional neural networks for object segmentation and pose estimation
… networks (CNNs), particularly those designed for object segmentation and pose estimation, are now applied to robotics applications involving mobile manipulation. For these robotic applications to be successful, robust and accurate performance from the CNNs is critical. Therefore, in order to …
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Empower dynamic scene understanding through scene flow estimation and object segmentation
… pars- ing both motion (scene flow) and object interactions (segmen- tation). Scene flow captures 3D motion fields, while segmen- tation isolates objects, enabling systems to interpret evolving environments. Integrating these tasks offers a holistic view but faces computational challenges …
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Digital video moving object segmentation using tensor voting: A non-causal, accurate approach
Motion based video segmentation is important in many video processing applications such as MPEG4. This thesis presents an exhaustive, non-causal method to estimate boundaries between moving objects in a video clip. It make use of tensor voting principles. The tensor voting is adapted to allow image …
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Flycatcher : fusion of gaze with hierarchical image segmentation for robust object detection
… gaze- based image processing in the context of object segmentation for wearable photography. The prototype includes a wearable eye tracking device that captures real-time eyetraces of a user, and a wearable video camera that captures first-person perspective images of the user's visual …
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Shape Estimation Using Graph Cut
… is mainly concerned with shape estimating of an object from its two-dimensional (2D) images. In this dissertation, various shape estimation problems are formulated as global optimization problems which are solved using graph cut. Particularly, an approach called graph cuts based active contours …
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Modeling Objects Using Interest Points, Edges, and Regions
… low level image features for the task of object category recognition and segmentation. In particular, it proposes novel fast and efficient models to represent object categories using interest points, edges, and regions. For interest points, a part based generate object template is …
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Speeding up Adaboost object detection with motion segmentation and Haar feature acceleration
A key challenge in a surveillance system is the object detection task. Object detection in general is a non-trivial problem. A sub-problem within the broader context of object detection which many researchers focus on is face detection. Numerous techniques have been proposed for face detection. One …
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Semantic amodal video segmentation using a synthetic dataset
… this work, we provide tools for annotating both object category and shot transitions for a new semantic modal instance-level object segmentation dataset. This new dataset provides ample opportunities to train models for instance-level segmentation, both modal and amodal. Moreover, in this work, …
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Amodal video instance segmentation
… the task of semantic amodal instance level video object segmentation, i.e., the task to delineate objects and their occluded parts in video data. We propose Amodal-Net with three improvements: First, we leverage temporal information. Specifically, we employ 3D convolutions and a flow alignment …
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High performance data processing pipeline for connectome segmentation
… accuracy and speed trade-off, as well as a fast object segmentation algorithm. The majority of the system is parallelized for multi-core machines, and with minor additional modification is expected to work in a distributed setting.
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Early Vision Optimization: Parametric Models, Parallelization and Curvature
… of an image takes place. Motion estimation, object segmentation and detection are all parts of early vision, but recognition is not. Many of these tasks are formulated as optimization problems and one of the key factors for the success of recent methods is that they seek to compute globally …
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A Unified Multiscale Encoder-Decoder Transformer for Video Segmentation
… for dense video estimation, with a focus on segmentation. We investigate this direction by exploring unified multiscale processing throughout the processing pipeline of feature encoding, context encoding and object decoding in an encoder-decoder model. Correspondingly, we present a Multiscale …
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Robust and flexible multi-scale medial axis computation
… medial axis (MMA) is important in that any object is detected at a blurring scale proportional to the size of the object. Thus it provides a sound balance between noise removal and preserving detail. The robustness of the MMA has been reflected in many existing applications in object …
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Colour and Naming in Healthy and Aphasic People
… the influence of colour on naming pictures of objects. We designed a completely new stimulus set based on images of 140 common real objects that were inspired by the Snodgrass and Vanderwart picture set (1980). We were especially interested whether there is a difference in performance between …
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Automated image-based 3D reconstruction system for precise plant modeling
… scientific research. However, a plant is a hard object to model due to its irregularity in shapes and complexity in structure. In this thesis, we present an automated non-parametric system, which reconstructs a high-quality 3D dense point cloud for plants from video inputs that are taken in a …
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Domain-Independent Mode Estimation for Human-Robot Collaboration
… goal is to estimate qualitative, symbolic human-object interaction states in real time. Robust human activity recognition is essential for collaborative and assistive robotics, particularly in dynamic or safety-critical environments. The core solution presented in this thesis is a mode-estimator …
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Energy efficient enabling technologies for semantic video processing on mobile devices
Semantic object-based processing will play an increasingly important role in future multimedia systems due to the ubiquity of digital multimedia capture/playback technologies and increasing storage capacity. Although the object based paradigm has many undeniable benefits, numerous technical …
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