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CED: Color Event Camera Dataset [PDF]
2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2019 Event cameras are novel, bio-inspired visual sensors, whose pixels output asynchronous and independent times-tamped spikes at local intensity changes, called ‘events’.
Davide Scaramuzza +2 more
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The Multivehicle Stereo Event Camera Dataset: An Event Camera Dataset for 3D Perception [PDF]
IEEE Robotics and Automation Letters, 2018 Event based cameras are a new passive sensing modality with a number of benefits over traditional cameras, including extremely low latency, asynchronous data acquisition, high dynamic range and very low power consumption. There has been a lot of recent interest and development in applying algorithms to use the events to perform a variety of 3D ...
Dinesh Thakur +2 more
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Event recognition with PTZ cameras
3rd International Conference on Imaging for Crime Detection and Prevention (ICDP 2009), 2009In this paper, a framework for explicit complex event recognition is proposed. The system extracts relevant features from video streams coming from PTZ cameras in order to detect, classify, and track moving objects in the scene. This information is then processed in order to recognize both simple events (instantaneous events involving a single object ...
PICIARELLI, Claudio +3 more
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Tweeting Cameras for Event Detection
Proceedings of the 24th International Conference on World Wide Web, 2015We are living in a world of big sensor data. Due to the widespread prevalence of visual sensors (e.g. surveillance cameras) and social sensors (e.g. Twitter feeds), many events are implicitly captured in real-time by such heterogeneous "sensors". Combining these two complementary sensor streams can significantly improve the task of event detection and ...
Yuhui Wang, Mohan S. Kankanhalli
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Space-Time Event Clouds for Gesture Recognition: From RGB Cameras to Event Cameras
2019 IEEE Winter Conference on Applications of Computer Vision (WACV), 2019The recently developed event cameras can directly sense the motion in the scene by generating an asynchronous sequence of events, i.e., event streams, where each individual event (x, y, t) corresponds to the space-time location when a pixel sensor captures an intensity change.
Qinyi Wang +3 more
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Compressed Event Sensing (CES) Volumes for Event Cameras
International Journal of Computer VisionDeep learning has made significant progress in event-driven applications. But to match standard vision networks, most approaches rely on aggregating events into grid-like representations, which obscure crucial temporal information and limit overall performance.
Songnan Lin +3 more
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Gait recognition with event cameras
Gait recognition is a fundamental task in activity tracking, health monitoring, security surveillance and many other computer vision applications. A variety of sensors have been utilised for gait recognition, such as standard cameras, infrared cameras, floor sensors and inertial sensors. However, each kind of sensor has its limitation by nature.openaire +2 more sources
Globally-Optimal Contrast Maximisation for Event Cameras
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022Laurent Kneip, Ling Gao, Xin Peng
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High Speed and High Dynamic Range Video With an Event Camera
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021Davide Scaramuzza +2 more
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Time-Ordered Recent Event (TORE) Volumes for Event Cameras
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023Keigo Hirakawa +2 more
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