Latest Articles for Video Analysis

A new 3D approach enhances motion tracking accuracy in videos.

SportsHHI focuses on human interactions in basketball and volleyball videos for improved analysis.

A new method enhances heart rate measurement using video analysis and 3D facial modeling.

A new system improves 3D motion capture from 2D video footage.

SPAM offers a smarter way to label video data efficiently.

This study enhances moving object segmentation using SAM combined with optical flow techniques.

Pegasus-1 allows users to interact with videos using natural language.

MovieChat simplifies understanding long videos using effective memory management techniques.

A new method improves how we count actions in videos using examples.

New methods improve understanding and analysis of unusual events in videos.

Introducing LVOS: a dataset for tracking objects in long videos.

A new approach tackles action segmentation in lengthy videos using optimal transport.

New method improves heart rate measurement accuracy in compressed videos.

This study reveals how personal gaze patterns affect human-robot interactions.

A deep dive into Video Foundation Models and their significance in video analysis.

Discover how DMD enhances motion detection in video streams for security applications.

CinePile challenges long video comprehension with 305,000 diverse questions.

BIMM learns video content by mimicking human brain pathways.

JOSENet improves real-time detection of violence in surveillance footage using advanced methods.

A new method improves motion estimation using adaptive finite element meshes.

A study on recognizing actions using few-shot learning and multimodal data.

New methods enhance machine understanding of dynamic interactions in video content.

MLVU benchmark aims to improve machine understanding of long videos.

A new method enhances action detection accuracy in overlapping video scenes.

A new approach to video object segmentation enhances accuracy by limiting memory use.

A new benchmark aims to assess MLLMs in video understanding across multiple topics.

A new model enhances video comprehension by merging image and video encoders.

VANE-Bench enhances detection of anomalies in videos amidst growing AI content.

A new dataset to enhance understanding of narratives in short films.

A new benchmark targets compositionality in video understanding and language models.

Introducing a method for fast video classifications based on early frame analysis.

VideoVista offers a comprehensive evaluation for video question-answering models.

A new method improves video action recognition using contextual language.

A new approach improves video frame prediction using domain knowledge.

Research highlights the role of video in improving speech recognition in noisy environments.

DeepMoveSORT enhances object tracking efficiency, especially in complex motion scenarios.

A new method enhances video data management for better understanding and efficiency.

A new approach improves accuracy in answering video-based questions.

A new method enhances object tracking by efficiently managing memory.

FeatureSORT enhances tracking accuracy and flexibility in dynamic environments.