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.
Results
Showing 1 to 8 of 8 for “"Video object segmentation"”.
-
Amodal video instance segmentation
… for 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 …
-
A Unified Multiscale Encoder-Decoder Transformer for Video Segmentation
… multiscale encoder-decoder transformer 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. …
-
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 …
-
Image and video object selection
"Image and video object selection present fundamental research problems in the computer vision field and have many practical applications. They are important technologies in image and video editing, film production, robotics and autonomous driving etc. Previous methods have serious limitations for …
-
Language-Guided 4D Object Reconstruction from Videos
… cost-prohibitive, as it requires both detailed object 3D structure and accurate motion within a complex 3D environment. This thesis proposes a framework that converts object-centric monocular videos into 4D representations. The two primary challenges we aim to tackle are: 1) key object …
-
Pixel-level video understanding with efficient deep models
The ability to understand videos at the level of pixels plays a key role in a wide range of computer vision applications. For example, a robot or autonomous vehicle relies on classifying each pixel in the video stream into semantic categories to holistically understand the surrounding environment, …
-
Development of Novel Attention-Aware Deep Learning Models and Their Applications in Computer Vision and Dynamical System Calibration
In recent years, deep learning has revolutionized computer vision and natural language processing tasks, but the black-box nature of these models poses significant challenges for their interpretability and reliability, especially in critical applications such as healthcare. To address this, …
-
Occlusion Tolerant Object Recognition Methods for Video Surveillance and Tracking of Moving Civilian Vehicles
Recently, there is a great interest in moving object tracking in the fields of security and surveillance. Object recognition under partial occlusion is the core of any object tracking system. This thesis presents an automatic and real-time color object-recognition system which is not only robust …