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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 +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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Event Cameras Meet SPADs for High-Speed, Low-Bandwidth Imaging
IEEE Transactions on Pattern Analysis and Machine IntelligenceTraditional cameras face a trade-off between low-light performance and high-speed imaging: longer exposure times to capture sufficient light results in motion blur, whereas shorter exposures result in Poisson-corrupted noisy images.
Manasi Muglikar +2 more
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Lossy Compression for Integrating Event Cameras
2021 Data Compression Conference (DCC), 2021Event cameras are biologically-inspired sensors that upend the framed, synchronous nature of traditional cameras. Singh et al. proposed a novel sensor design wherein incident light values may be measured directly through continuous integration, with individual pixels' light sensitivity being adjustable in real time, allowing for extremely high frame ...
Andrew C. Freeman, Ketan Mayer-Patel
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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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Event Intensity Decay with Event Cameras for Efficient Object Detection
In this paper, we explore the object detection challenge with event-cameras. We propose an event-frame representation with increased temporal information that improves the performance of off the shelf feed-forward object detectors significantly.
Wilfried Philips
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Time-Ordered Recent Event (TORE) Volumes for Event Cameras
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023R Wes Baldwin +2 more
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Real-time face & eye tracking and blink detection using event cameras
Neural Networks, 2021Cian Ryan +2 more
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Action Recognition and Benchmark Using Event Cameras
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023Yue Gao, Jiaxuan Lu, Siqi Li
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