Unlike traditional SLT based on visible light videos, which is easily affected by factors such as lighting, rapid hand movements, and privacy breaches, this paper proposes the use of high-definition Event streams for SLT, effectively mitigating the aforementioned issues.
This paper proposes a novel hierarchical knowledge distillation framework that can fully utilize multi-modal / multi-view information during training to facilitate knowledge transfer, enabling us to achieve high-speed and low-latency visual tracking during testing by using only event signals.
This paper introduces a new hybrid dataset encompassing both RGB and event data for human pose estimation and tracking in two extreme scenarios: low-light and motion blur environments.
This paper proposes to recognize the scene text using bio-inspired event cameras by collecting and annotating a large-scale benchmark dataset, termed EventSTR. It contains 9,928 high-definition (1280 × 720) event samples and involves both Chinese and English characters.
IDS Imaging Development Systems GmbH, market leader in industrial machine vision, and Prophesee SA, inventor of the most advanced neuromorphic vision systems, today announced that IDS’ new uEye EVS camera line incorporates the high-speed, dynamic range and data efficiency of the Prophesee-Sony IMX636HD event-based vision sensor to offer new capabilities for industrial machine vision applications.