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 20 of 23 for “"Human detection"”.
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Human Detection in the Wild
Human detection remains a challenging task due to the problems caused by occlusion variance. Visible-body bounding boxes are typically used as an extra supervision signal to improve the performance of human detection. However, visible-body assisted approaches produce a large number of false …
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Fast human detection with cascaded ensembles
… poses that people can adopt. To discriminate the human shape clearly, Dalal and Triggs [1] proposed a gradient based, robust feature set that yielded excellent detection results. This method computes locally normalized gradient orientation histograms over blocks of size 16x16 pixels representing a …
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Human detection of computer simulation mistakes in engineering experiments
… and domain knowledge score showed that flaw detection ability improved with increased domain knowledge, but that an advantage of two standard deviations in domain knowledge was insufficient to overcome the disadvantage of using the fractional factorial plan. Participant reactions to …
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Human detection and action recognition using depth information by Kinect
… by Kinect to address the issues regarding human detection and action recognition. Taking the depth information, the basic problem we consider is to detect humans in the scene. We propose a model based approach, which is comprised of a 2D head contour detector and a 3D head surface detector. …
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Development of ultra wideband antenna array for human detection under debris
… In recent decades, the under-debris victim detection system using Doppler radar technique was developed and after that, the use of ultra-wideband (UWB) radar was also the part of a study for some years. However, the limitations in such systems are penetration depth and resolution imaging, …
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Human Detection for Flood Rescue: Application of YOLOv5 Algorithm and DeepSort Object Tracking
This thesis proposes a method of human detection using high-resolution surveillance cameras to monitor sections of the Chattahoochee River that require frequent search and rescue efforts due to flooding. The areas of interest are located in the city of Columbus, Georgia. The goals of this study are …
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A new classification approach based on geometrical model for human detection in images
In recent years, object detection and classification has gained more attention, thus, there are several human object detection algorithms being used to locate and recognize human objects in images. The research of image processing and analysing based on human shape is a hot topic due to its wide …
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A robust gan-based model for low-light image enhancement and human detection on mobile devices
… of day. This reduces the reliability of people detection models, as they attempt to detect a shape that is altered by darkness. When the lighting decreases, the image changes, in addition to the noise generated by the lack of clarity. To address this problem, a Generative Adversarial Network …
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Response Criterion Placement Modulates the Effects of Graded Alerting Systems on Human Performance and Learning in a Target Detection Task
Human operators can perform better with the use of an automated diagnostic aid than without the use of an aid in a signal detection task. This experiment aimed to determine whether any differences existed among graded aids—automated diagnostic aids that use a scale of confidence levels reflecting a …
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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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Watching Humans and Detecting Their Abnormalities
In summary, an abnormality detection system, which involves in human detection, human tracking, and activity classification, is discussed in the dissertation. The current system can only work under familiar environments. Future work will aim at a general abnormality detection system for video …
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Modeling Shape, Appearance and Motion for Human Movement Analysis
… Motion are the most important cues for analyzing human movements in visual surveillance. Representation of these visual cues should be rich, invariant and discriminative. We present several approaches to model and integrate them for human detection and segmentation, person identification, and …
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Image usefulness of compressed surveillance footage with different scene contents
… 3 specific police areas/tasks utilising: 1) the human visual system (HVS) for a face recognition task, 2) automated face recognition systems, and 3) automated human detection systems. These systems (HVS and automated) were assessed with defined scene content properties, and video compression, …
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Privacy-aware human presence and movement analysis in controlled and uncontrolled environments
… if machines could automatically interpret the human presence and movement in our everyday life, many tasks would be transposed and revolutionized. Multiple human tracking (MHT), encompassing human presence and movement analysis, are key components in many computer vision applications, in which …
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Human activity recognition and gymnastics analysis through depth imagery
… of computer vision, such as object recognition, human detection, human activity recognition, and sports analysis. The goal of my work is twofold: (1) use depth imagery to effectively analyze the pommel horse event in men’s gymnastics, and (2) explore and build upon the use of depth imagery to …
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Radar detection and identification of human signatures using moving platforms
… unique advantages over other sensors for the detection of humans, such as remote operation during virtually all weather and lighting conditions, increased range, and better coverage. Many current radar-based human detection systems employ some type of Fourier analysis, such as Doppler …
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Security in network games
… computer worms simply propagate too quickly for human detection. Since attacks are now occurring at a speed which prevents direct human intervention, there is a need to develop automated defenses. Since the financial, social and political stakes are so high, we need defenses which are provably …
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Human Movement Analysis: Ballistic Dynamics, and Edge Continuity for Pose Estimation
We present two contributions to human movement analysis: (a) a ballistic dynamical model for recognizing movements, and (b) a model for coupling edge continuity with contour matching. We describe a Bayesian approach for visual analysis of ballistic hand movements, namely reaches and strikes. These …
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Development of Resource-Constrained Computer Vision Algorithms: From Conventional Machine Learning to Deep Learning
… novel feature extraction methods for pedestrian detection in low-light conditions. The work introduces four methods, namely Weighted Local Binary Pattern (WLBP), Multi-Resolution Local Binary Pattern (MRLBP), Magnitude-Area-Zone-Enhanced Local Binary Pattern (MAZELBP) and Staggered Multi-Scale …
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The Development of an Independent Frequency Modulated Continuous Wave Radar for Perimeter Security
… industry with the application of detecting human targets through the use of FMCW radar. The foundational efforts that this research entails is the development of an FMCW radar where every component of the radar will eventually end up as independently user designed. The purpose of achieving …
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