Essays about: "visual object tracking"
Showing result 1 - 5 of 35 essays containing the words visual object tracking.
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1. Comparing Gaze Cues: Avatars versus Humans in Allocating Visual Attention : Eye Tracking Case Study
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : When designing websites or applications, being able to allocate visual attention to specific parts of an interface is important. One powerful tool that can be used for this is Gaze Cues, which is a social cue that makes use of gaze direction to allocate visual attention in the same direction. READ MORE
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2. Probabilistic Multi-Modal Data Fusion and Precision Coordination for Autonomous Mobile Systems Navigation : A Predictive and Collaborative Approach to Visual-Inertial Odometry in Distributed Sensor Networks using Edge Nodes
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : This research proposes a novel approach for improving autonomous mobile system navigation in dynamic and potentially occluded environments. The research introduces a tracking framework that combines data from stationary sensing units and on-board sensors, addressing challenges of computational efficiency, reliability, and scalability. READ MORE
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3. Analyzing different approaches to Visual SLAM in dynamic environments : A comparative study with focus on strengths and weaknesses
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Simultaneous Localization and Mapping (SLAM) is the crucial ability for many autonomous systems to operate in unknown environments. In recent years SLAM development has focused on achieving robustness regarding the challenges the field still faces e.g. dynamic environments. READ MORE
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4. Automatic object detection and tracking for eye-tracking analysis
University essay from Uppsala universitet/Avdelningen för systemteknikAbstract : In recent years, eye-tracking technology has gained considerable attention, facilitating analysis of gaze behavior and human visual attention. However, eye-tracking analysis often requires manual annotation on the objects being gazed upon, making quantitative data analysis a difficult and time-consuming process. READ MORE
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5. AATrackT: A deep learning network using attentions for tracking fast-moving and tiny objects : (A)ttention (A)ugmented - (Track)ing on (T)iny objects
University essay from Jönköping University/JTH, Avdelningen för datavetenskapAbstract : Recent advances in deep learning have made it possible to visually track objects from a video sequence. Moreover, as transformers got introduced in computer vision, new state-of-the-art performances were achieved in visual tracking. READ MORE