Hardware analysis for motion estimation task

Article Computer Science, Artificial Intelligence

Event-Based Vision: A Survey

Guillermo Gallego et al.

Summary: This paper provides a comprehensive overview of event-based vision, focusing on the applications and algorithms developed for event cameras. Event cameras differ from traditional cameras in their asynchronous measurement of per-pixel brightness changes, offering high temporal resolution, very high dynamic range, low power consumption, and high pixel bandwidth. The paper discusses techniques for processing events, including learning-based methods and specialized processors. It also highlights the remaining challenges and opportunities in the field of bio-inspired perception and interaction for machines.

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2022)

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Article Engineering, Multidisciplinary

Autonomous tracking of partial discharge pattern evolution based on optical flow

Marek Florkowski

Summary: The measurement of partial discharges is crucial for high voltage insulation integrity, as their long term effects can lead to insulation deterioration and breakdown. This paper presents a novel technique for autonomous tracking of partial discharge image sequence evolution using the optical flow algorithm. The goal of the research was to automate pattern analysis towards intelligent PD diagnostics, with successful application to various classes of PD images.

MEASUREMENT (2021)

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Article Computer Science, Information Systems

Frame Deletion Detection Based on Optical Flow Orientation Variation

Shuo Li et al.

Summary: The paper introduces a new algorithm for detecting frame deletion in real-world videos using optical flow orientation variation. Experimental results show a high true positive rate and a low false alarm rate, indicating the superiority of the proposed method in forensic algorithms for real-world videos.

IEEE ACCESS (2021)

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Article Engineering, Electrical & Electronic