6 papers · 1 filter
UAV-Based Environmental Monitoring of Rip-Current Indicators Using Wavelet-Derived Texture Features
Yonatan Ben Avraham, Baruch Binyaminov, Yehudit Aperstein
Rip currents are recurrent coastal natural hazards that threaten beachgoers and create operational challenges for lifeguards and coastal managers. Reliable monitoring from standard…
Mapping License Plate Recoverability Under Extreme Viewing Angles for Opportunistic Urban Sensing
Igor Adamenko, Orpaz Ben Aharon, Yehudit Aperstein +1
Urban environments contain many imaging sensors built for specific purposes, including ATM, body-worn, CCTV, and dashboard cameras. Under the opportunistic sensing paradigm, these…
CalexNet: Soft Cascade-Aligned Training and Calibration for Lightweight Early-Exit Branches
Yehudit Aperstein, Alexander Apartsin
Early-exit cascades over a frozen convolutional backbone enable adaptive inference but suffer from three sources of train-inference mismatch: branches train on samples they will ne…
Recognition of Abnormal Events in Surveillance Videos using Weakly Supervised Dual-Encoder Models
Noam Tsfaty, Avishai Weizman, Liav Cohen +2
We address the challenge of detecting rare and diverse anomalies in surveillance videos using only video-level supervision. Our dual-backbone framework combines convolutional and t…
Enhancing Classification of Streaming Data with Image Distillation
Rwad Khatib, Yehudit Aperstein
This study tackles the challenge of efficiently classifying streaming data in envi-ronments with limited memory and computational resources. It delves into the application of data…
Stitching the Story: Creating Panoramic Incident Summaries from Body-Worn Footage
Dor Cohen, Inga Efrosman, Yehudit Aperstein +1
First responders widely adopt body-worn cameras to document incident scenes and support post-event analysis. However, reviewing lengthy video footage is impractical in time-critica…