Results 221 to 230 of about 24,156 (258)

Decoding the OR Black Box and Similar Technologies and Considerations in Otolaryngologic Surgery. [PDF]

Laryngoscope Investig Otolaryngol
Li SC, Bain A, Tan D, Ji H.
europepmc   +1 more source

Efficient and real-time perception: a survey on end-to-end event-based object detection in autonomous driving. [PDF]

Front Robot AI
Smagulova K, Elsheikh A, Silva DA, Fouda ME, Eltawil AM.   +4 more
europepmc   +1 more source

Developing and Assessing the Performance of a Machine Learning Model for Analyzing Drinking Behaviors in Minipigs for Experimental Research. [PDF]

Sensors (Basel)
Deutch F, Hansen LS, Saleh FO, Weiss MG, Figueiredo C, Moers C, Keller AK, Wagner SR.   +7 more
europepmc   +1 more source

Observations of marine animal interactions with a small tidal turbine. [PDF]

PLoS One
Cotter E, Bassett C, Murphy P, Scott M, Runyan A, Almokharrak JM, Kao LG, Ovall LM, McMillen SA.   +8 more
europepmc   +1 more source

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Event recognition with PTZ cameras

3rd International Conference on Imaging for Crime Detection and Prevention (ICDP 2009), 2009
In 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, KUMAR, S, MICHELONI, Christian, FORESTI, Gian Luca   +3 more
openaire   +2 more sources

Generalized Event Cameras

2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Event cameras capture the world at high time resolution and with minimal bandwidth requirements. However, event streams, which only encode changes in brightness, do not contain sufficient scene information to support a wide variety of downstream tasks.
Edoardo Charbon, Mohit Gupta, Claudio Bruschini   +2 more
exaly   +3 more sources

Tweeting Cameras for Event Detection

Proceedings of the 24th International Conference on World Wide Web, 2015
We 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
openaire   +1 more source

Space-Time Event Clouds for Gesture Recognition: From RGB Cameras to Event Cameras

2019 IEEE Winter Conference on Applications of Computer Vision (WACV), 2019
The 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, Yexin Zhang, Junsong Yuan 0001, Yilong Lu   +3 more
openaire   +1 more source

Compressed Event Sensing (CES) Volumes for Event Cameras

International Journal of Computer Vision
Deep 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, Ye Ma, Jing Chen 0018, Bihan Wen   +3 more
openaire   +2 more sources

Action Recognition and Benchmark Using Event Cameras

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023
Qionghai Dai, Yipeng Li, Nan Ma
exaly