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 11 of 11 for “"Pedestrian detection"”.
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Pedestrian detection in low-resolution videos
… we address the problem of detecting pedestrians in low-resolution videos taken by stationary cameras and cameras mounted on aerial platforms. The target pedestrians are as small as 20 pixels in height. Pedestrian detection is a key problem in computer vision, and has several …
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Fast pedestrian detection from a moving vehicle
… paper presents a method of real-time multi-modal pedestrian detection from a moving vehicle. The system uses both intensity and thermal images captured from cameras mounted at the front of the vehicle to train cascades of classifiers, which results in a detector that is able to detect a large …
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Pedestrian detection and tracking using stereo vision techniques
Automated pedestrian detection, counting and tracking has received significant attention from the computer vision community of late. Many of the person detection techniques described so far in the literature work well in controlled environments, such as laboratory settings with a small number of …
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Pedestrian detection and tracking for mobility on demand
This paper presents a pedestrian detection and tracking system to be used aboard mobility on demand systems. Mobility on demand is a transportation paradigm in which a fleet of vehicles is shared among a community, with rides provided upon request. The proposed system is capable of robustly …
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Cognitive feature fusion for effective pattern recognition in multi-modal images and videos
Image retrieval and object detection have been always popular topics in computer vision, wherein feature extraction and analysis plays an important role. Effective feature descriptors can represent the characteristics of the images and videos, however, for various images and videos, single feature …
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Towards a transparency-based, value-sensitive design solution for bias in self-driving cars: An ethical violation assessment and risk analysis framework on consumer-held values
… like facial recognition, hiring software, and pedestrian detection. Bias in AI can lead to potentially fatal outcomes in SDCs, emphasizing the need for a thorough examination of bias in SDCs.</p> <p>Purpose: To enhance AI ethics by providing tools to support transparency and value- sensitive …
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The Role of Context in Understanding and Predicting Pedestrian Behavior in Urban Traffic Scenes
… between AVs and other road users, in particular pedestrians, to resolve various traffic ambiguities. To interact with pedestrians, AVs must be able to understand the objectives of pedestrians and predict their forthcoming actions. In this dissertation, we investigate the role of context on …
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Development of Resource-Constrained Computer Vision Algorithms: From Conventional Machine Learning to Deep Learning
… develops 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 …
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Efficient object detection via structured learning and local classifiers
Object detection has made great strides recently. However, it is still facing two big challenges: detection accuracy and computational efficiency. In this thesis, we present an automatic efficient object detection frarnework to detect object instances ·in images using bounding boxes, which can be …
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Vision based system for detecting and counting mobility aids in surveillance videos
… 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 uncontrolled environment, camera angle, and varying lighting and weather conditions. This research aims to …
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Motion based vision methods and their applications
La détection de mouvement est une opération de base souvent utilisée en vision par ordinateur, que ce soit pour la détection de piétons, la détection d’anomalies, l’analyse de scènes vidéo ou le suivi d’objets en temps réel. Bien qu’un très grand nombre d’articles ait été publiés sur le sujet, …