AIMC Topic: Video Recording

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Establishment of an Infrared-Camera-Based Home-Cage Tracking System Goblotrop.

eNeuro
Studying locomotor activity in animal models is crucial for understanding physiological, behavioral, and pathological processes. This study aimed to develop an artificial intelligence-based tracking system called Goblotrop, designed to localize roden...

Automated Video-EEG Analysis in Epilepsy Studies: A Narrative Review of Advances and Challenges.

Journal of medical systems
Video-electroencephalography (vEEG) monitoring is currently the reference standard in the diagnosis of epilepsy. Manual analysis of vEEG recordings is time-consuming and inter-rater agreement is low even when the annotation is done by experienced doc...

Detecting mind wandering via EEG and facial video features.

Behavior research methods
PURPOSE: Mind wandering (MW), a common cognitive phenomenon marked by a shift of attention away from the task at hand, poses significant challenges in online educational settings. This study aims to advance MW detection by developing a classification...

Revisiting Challenges in Real-world Video Colonoscopy using End-to-End Two Stream Polyp Detection Transformer (TS-PDTR).

Journal of medical systems
Accurate polyp detection is essential for the early diagnosis and effective treatment of colorectal cancer (CRC). However, colonoscopy videos in real-world clinical settings present significant challenges, often causing existing algorithms to fail. C...

Advanced gesture recognition in Indian sign language using a synergistic combination of YOLOv10 with Swin Transformer model.

Scientific reports
Communication between deaf or mute individuals and hearing persons is often hindered by the lack of mutual understanding of sign or vocal language. To bridge this gap, Indian Sign Language Recognition (ISLR) systems are essential. This paper proposes...

Using AI to Summarize US Presidential Campaign TV Advertisement Videos, 1952-2012.

Scientific data
This paper introduces the largest and most comprehensive dataset of US presidential campaign television advertisements, available in digital format. The dataset also includes machine-searchable transcripts and high-quality summaries designed to facil...

Automatic infant 2D pose estimation from videos: Comparing seven deep neural network methods.

Behavior research methods
Automatic markerless estimation of infant posture and motion from ordinary videos carries great potential for movement studies "in the wild", facilitating understanding of motor development and massively increasing the chances of early diagnosis of d...

Deep learning methods to forecasting human embryo development in time-lapse videos.

PloS one
BACKGROUND: In assisted reproductive technology, evaluating the quality of the embryo is crucial when selecting the most viable embryo for transferring to a woman. Assessment also plays an important role in determining the optimal transfer time, eith...

DeePosit, an AI-based tool for detecting mouse urine and fecal depositions from thermal video clips of behavioral experiments.

eLife
In many mammals, including rodents, social interactions are often accompanied by active urination (micturition), which is considered a mechanism for spatial scent marking. Urine and fecal deposits contain a variety of chemosensory signals that convey...

Impact of deep learning and post-processing algorithms performances on biodiversity metrics assessed on videos.

PloS one
Assessing the escalating biodiversity crisis, driven by climate change, habitat destruction, and exploitation, necessitates efficient monitoring strategies to assess species presence and abundance across diverse habitats. Video-based surveys using re...