A5066244312- Speech Recognition and Synthesis
- Voice and Speech Disorders
- Video Surveillance and Tracking Methods
- Head and Neck Cancer Studies
- Image Retrieval and Classification Techniques
- Advanced Vision and Imaging
- Advanced Image and Video Retrieval Techniques
- Coral and Marine Ecosystems Studies
- Digital Media Forensic Detection
- Handwritten Text Recognition Techniques
- Education, Psychology, and Social Research
- Phonetics and Phonology Research
- Dysphagia Assessment and Management
- Image Processing and 3D Reconstruction
- Advanced Neural Network Applications
- Robot Manipulation and Learning
- Underwater Acoustics Research
- Remote-Sensing Image Classification
- Medical Image Segmentation Techniques
- Video Analysis and Summarization
- Fuzzy Logic and Control Systems
- Advanced Steganography and Watermarking Techniques
- Neural Networks and Applications
Czech Academy of Sciences, Institute of Information Theory and Automation
2015-2022
Tracking Fast Moving Objects (FMO), which appear as blurred streaks in video sequences, is a difficult task for standard trackers, the object position does not overlap consecutive frames and texture information of objects blurred. Up-to-date approaches tuned this are based on background subtraction with static slow deblurring algorithms. In article, we present tracking-by-segmentation approach implemented using modern deep learning methods that perform near real-time tracking real-world...
Videokymography (VKG) is a high-speed medical imaging technique used in laryngology and phoniatrics for examination of vocal fold vibrations, it offers important characteristics diagnosis treatment voice disorders. VKG repeatedly scans only single line from the scene captures movements folds this region interest. This paper proposes methods computer assisted evaluation diagnostically vibration features, related to their surroundings. They are derived existing as well newly developed digital...
Videokymographic (VKG) images of the human larynx are often used for automatic vibratory feature extraction diagnostic purposes. One most challenging parameters to evaluate is mucosal wave's presence and its lateral peaks' sharpness. Although these features can be clinically helpful give an insight into health pliability vocal fold mucosa, identification visual estimation sharpness examiners even more so process. This work aims create validate a method that automatically quantify peak from...
Tracking fast moving objects, which appear as blurred streaks in video sequences, is a difficult task for standard trackers the object position does not overlap consecutive frames and texture information of objects blurred. Up-to-date approaches tuned this are based on background subtraction with static slow deblurring algorithms. In paper, we present tracking-by-segmentation approach implemented using state-of-the-art deep learning methods that performs near-realtime tracking real-world...