Motion Detection
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Benchmarks
nuScenes
Most implemented
InTec: integrated things-edge computing: a framework for distributing machine learning pipelines in edge AI systems
A Physics-Informed Deep Learning Model for MRI Brain Motion Correction
STMDNet: A Lightweight Directional Framework for Motion Pattern Recognition of Tiny Targets
Do Current Video LLMs Have Strong OCR Abilities? A Preliminary Study
Highly efficient non-rigid registration in k-space with application to cardiac Magnetic Resonance Imaging
Real-Time Motion Detection Using Dynamic Mode Decomposition
Papers
Physically Real-time Infrared Attack against Optical Flow Estimation Networks
With the promising performance of deep neural networks on image-based tasks, different real-world applications such as autonomous driving and motion detection have become increasingly mature and relevant to human lives. …
Optical Flow EstimationAutonomous DrivingMotion DetectionAn Event-Driven Framework for Fly-Inspired Visual Motion Detection
Fast and reliable motion detection is essential for machine vision and autonomous systems operating in dynamic environments. This work integrates emerging event-based sensing with biologically structured neural computati…
Motion DetectionEmpirical Evaluation of Multi-Modal Touch Detection in Over-the-Shoulder Video Surveillance
Video Intelligence Surveillance (VIDINT) on over-the-shoulder footage is a proposed vector for monitoring human-computer interaction patterns without direct screen recording access. In this paper, we evaluate a Behaviora…
Motion DetectionAppearance-Invariant Detection of Suggestive Motion via Laban Movement Descriptors
Content moderation in online multiplayer 3D virtual environments is increasingly automated, yet detection has focused on images, video, and audio, leaving suggestive motion a blind spot. We present a motion-only classifi…
Motion DetectionMulti-material Direct Ink Writing and Embroidery for Stretchable Wearable Sensors
The development of wearable sensing systems for sports performance tracking, rehabilitation, and injury prevention has driven growing demand for smart garments that combine comfort, durability, and accurate motion detect…
Motion DetectionApplication and Evaluation of the Common Circles Method
We investigate the application of the common circle method for estimating sample motion in optical diffraction tomography (ODT) of sub-millimeter sized biological tissue. When samples are confined via contact-free acoust…
Motion Detection