Latest Articles for Surveillance Technology

New method enhances pedestrian detection using RGB and thermal images.

MOTIP simplifies multiple object tracking, enhancing efficiency and accuracy.

A new dataset enhances tracking methods using RGB and thermal images.

A new method improves clarity in dark images for various applications.

A new method for identifying and describing objects in videos.

A new framework improves efficiency in video object detection for surveillance systems.

A new approach to improve multi-object tracking via 3D data.

MV-RGBT offers a realistic dataset for evaluating RGBT tracking methods.

A new method for better recognizing small items in computer vision.

PuTR offers a real-time solution for long-term object tracking in videos.

Study reveals potential biases in AI decision-making for police intervention.

Learn about sound localization techniques and their uses in various fields.

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

MASA learns object tracking using unlabeled images, improving adaptability in diverse situations.

FeatureSORT enhances tracking accuracy and flexibility in dynamic environments.

Discover the latest developments in tracking moving objects in various applications.

ActionSwitch detects actions in streaming videos without needing prior class information.

A new framework enhances action recognition in videos using multiple vision-language models.

A new approach enhances human pose estimation accuracy in dim lighting.

XS-VID dataset and YOLOFT method improve small object detection accuracy.

CAFormer enhances object tracking by merging visible light and thermal infrared images.

Research reveals vulnerabilities in MOT systems through innovative attack techniques.

New methods improve tracking accuracy and consistency in computer vision applications.

A novel approach to locate multiple sources in 3D space using TDOA measurements.

How new technology is improving safety in vehicle dashcams.

ConsistencyTrack enhances object tracking in videos using innovative noise handling techniques.

PartFormer enhances object recognition across varying conditions using Vision Transformers.

A new method improves clarity in dark images using innovative neural networks.

Exploring methods to improve image quality affected by atmospheric turbulence.

A new approach improves recognition in challenging lighting for security systems.

A new method enhances image clarity and recognition in noisy environments.

NSSR-DIL transforms low-quality images efficiently without large datasets.

New methods improve low-light image quality using semi-supervised learning.

GeCo improves object counting with fewer examples, enhancing accuracy and reliability.

A new method enhances person identification across cameras with reduced supervision.

A new method enhances visible-infrared person re-identification using skeleton data.

FastTrackTr offers a quick and efficient solution for tracking multiple objects in videos.

Testing various models for detecting unusual activities in video data.

New method finds objects in long videos without extensive training.

Combining visible and infrared images improves person tracking in diverse conditions.