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 18 of 18 for “"video analytics"”.
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Privacy-Preserving Video Analytics
As video cameras have become pervasive in public settings and accurate computer vision has become commonplace, there has been increasing interest in collecting and processing data from these cameras at scale ("video analytics"). While these trends enable many useful applications (such as monitoring …
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Label-Efficient and Compute-Efficient Video Analytics
The ability to analyze large-scale video datasets is useful in an increasing range of applications. For example, a traffic planner may want to analyze traffic camera video to compare the frequency of hard braking at different junctions, while an ecology researcher may be interested in identifying …
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Video analytics on the MLK Smart Corridor testbed
… is the ability to utilize computer vision and video analytics to anonymously gather data on how citizens traverse the city. This thesis shall discuss an approach to real-time object tracking that serves as a basis for further analytics such as traffic flow data collection and near-miss …
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360° and 2D video analytics in network and energy constrained environments
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2025-10-19 without embargo terms
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Distracted driving detection: video analytics pipeline with adaptive driver feature extraction
Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2024-08-01
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Action detection in in-classroom firefighter training: A 360-degree video analytics service
Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2026-05-01
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Intelligent video surveillance
… recognition and tracking within the context of video analytics. The manual video surveillance has been proven to have low effectiveness and, at the same time, high expense because of the need in manual labour of operators, which are additionally prone to erroneous decisions. Along with increase …
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Classifier based incremental reconstruction of human object trajectory in live video streams
A common practice for solving problems in video analytics is to consider each problem (e.g. processing speed, complexity of data analysis or tracking of moving object) in isolation, starting with constructing of computational models for each specific data processing task. This is dictated by the …
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Reliable service chain orchestration for scalable data-intensive computing at infrastructure edges
… of natural or man-made disasters, geospatial video analytics is valuable to provide situational awareness that can be extremely helpful for first responders. However, geospatial video analytics demands massive imagery/video data 'collection' from Internet-of-Things (IoT) and their seamless …
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Individual and group dynamic behaviour patterns in bound spaces
… classification of the visual features from the video footage for recognising the dynamic behaviour directly from the source. The adoption of such an approach allows recognising directly the elementary actions of moving objects, which is a difficult task on its own. The major factor that impacts …
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Utility-driven optimization and placement framework for Visual IoT analytics over edge-cloud environments
… In this dissertation, we argue that the current video analytics systems are not keeping up with such advances. For example, video encoders have been designed for a long time to please human viewers and be agnostic of the downstream analysis tasks (e.g., object detection). Moreover, existing video …
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Multi-target Tracking Using on-line Viterbi Optimisation and Stochastic Modelling
… of manual labour required by using automated video analytics. Two methods for creating for such tools are presented. The first method is a probabilistic background foreground segmentation that for each block of pixels calculate the probability that this block currently views the static …
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Continuous Learning for Lightweight Machine Learning Inference at the Edge
… communication systems, AMS for real-time video inference on edge devices, SRVC for efficient video compression, and RECL for responsive, resource-efficient continuous learning for video analytics. We show how continuous learning can significantly improve lightweight machine learning …
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Satisfying service level objectives in stream processing systems
… show top trends and recent comments, streaming video analytics that identify traffic patterns and movement, and jobs that process ad pipelines. This has led to the proliferation of stream processing systems that process such data to produce real-time results. As these applications must produce …
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Learner analytics of student programmers: the use of innovative technologies to better understand the learning behaviours of student programmers
… The aim is to be able to identify new Learning Analytics to be used potentially as early warning indicators of struggling students. These areas generally have thus far either not been studied or have been inaccessible or difficult to measure. Accordingly, this thesis presents a series of …
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Detection and representation of moving objects for video surveillance
… moving objects (such as people and vehicles) in video surveillance sequences. The first technique analyses the original video and exploits spatial and temporal information to find those pixels in the images that correspond to moving objects. The second technique analyses video sequences that have …
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Robust Video Object Tracking via Camera Self-calibration
… for 3D scene reconstruction based on robust video object tracking assisted by camera self-calibration is proposed, which includes several algorithmic components. (1) An algorithm for joint camera self-calibration and automatic radial distortion correction based on tracking of walking persons …
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An adaptive placement framework for efficient near-data stream processing over data source-edge-cloud systems
Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2024-08-01