Essays about: "Depth Tracking"
Showing result 1 - 5 of 75 essays containing the words Depth Tracking.
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1. Diving Deep: Seabird foraging tactics and local prey field
University essay from SLU/Dept. Of Aquatic ResourcesAbstract : Foragers in patchy environments need to decide what patches to use and how to allocate their time between them. Optimal foraging theory describes these choices through the relationship between energy expenditure and energy gain. READ MORE
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2. Designing for the Distracted : A User-Centered Approach to Explore and Act on the User Experiences of People with Short Attention Spans
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Short attention spans are a growing phenomenon, impacting users in their daily interactions with technology. While there have been studies in the field of HCI on how to design for directing or maximizing user attention, few have focused on users with short attention spans and their felt experiences. READ MORE
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3. Eye-Movement Correlates of Pattern Separation in a Mnemonic Similarity Task Modified with Naturalistic Scenes
University essay from Lunds universitet/Institutionen för psykologiAbstract : Pattern separation is one of the central operations of episodic memory. Tasks that evaluate the pattern separation usually base their assessments on the behavioral recall of simple objects or words and are far from real-life experiences and daily memory performance. Thus, typical tasks that assess pattern separation lack ecological validity. READ MORE
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4. Deep Learning-Based Depth Estimation Models with Monocular SLAM : Impacts of Pure Rotational Movements on Scale Drift and Robustness
University essay from Linköpings universitet/DatorseendeAbstract : This thesis explores the integration of deep learning-based depth estimation models with the ORB-SLAM3 framework to address challenges in monocular Simultaneous Localization and Mapping (SLAM), particularly focusing on pure rotational movements. The study investigates the viability of using pre-trained generic depth estimation networks, and hybrid combinations of these networks, to replace traditional depth sensors and improve scale accuracy in SLAM systems. READ MORE
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5. Biodiversity Monitoring Using Machine Learning for Animal Detection and Tracking
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : As an important indicator of biodiversity and ecological environment in a region, the number and distribution of animals has been given more and more attention by agencies such as nature reserves, wetland parks, and animal protection supervision departments. To protect biodiversity, we need to be able to detect and track the movement of animals to understand which animals are visiting the space. READ MORE