Video Analytics. Face and Facial Expression Recognition
Third International Workshop, FFER 2018, and Second International Workshop, DLPR 2018, Beijing, China, August 20, 2018, Revised Selected Papers
Chapter and Conference Paper
In thermal video security monitoring the reliability of deployed systems rely on having varied training data that can effectively generalize and have consistent performance in the deployed context. However, fo...
Chapter and Conference Paper
The goal of Single-Image Super-Resolution (SISR) is to reconstruct a High-Resolution (HR) version of a degraded Low-Resolution (LR) image. Existing Super-Resolution (SR) methods mostly assume that the LR image...
Article
Visual object tracking remains an active research field in computer vision due to persisting challenges with various problem-specific factors in real-world scenes. Many existing tracking methods based on discr...
Article
This paper presents the extraction of the emotional signals from traumatic brain-injured (TBI) patients through the analysis of facial features and implementation of the effective emotion-recognition model thr...
Chapter and Conference Paper
State-of-the-art (SoTA) detection-based tracking methods mostly accomplish the detection and the identification feature learning tasks separately. Only a few efforts include the joint learning of detection and...
Chapter and Conference Paper
This paper sets out to investigate if semantic segmentation can be used to achieve anonymity in video surveillance while maintaining the ability to perform anomaly detection. The paper is centered around findi...
Chapter and Conference Paper
Thermal cameras are used in various domains where the vision of RGB cameras is limited. Thermographic imaging enables the visualizations of objects beyond the visible range, which enables its use in many appli...
Chapter and Conference Paper
We propose a novel means to improve the accuracy of semantic segmentation based on multi-task learning. More specifically, in our Multi-Task Semantic Segmentation and Super-Resolution (MT-SSSR) framework, we j...
Chapter and Conference Paper
In recent years, companies, such as Intel and Google, have brought onto the market small low-power platforms that can be used to deploy and run inference of Deep Neural Networks at a low cost. These platforms ...
Chapter and Conference Paper
Video anomaly detection is becoming of increased interest as surveillance is becoming more widespread. We propose an object-centric method with memory augmentation (ObjMemAE) for video anomaly detection. Recen...
Article
Distortions such as dryness, wetness, blurriness, physical damages and presence of dots in fingerprints are a detriment to a good analysis of them. Even though fingerprint image enhancement is possible through...
Article
This work proposes a fully convolutional network architecture for RGB face image generation from a given input thermal face image to be applied in face recognition scenarios. The proposed method is based on th...
Article
Book and Conference Proceedings
Third International Workshop, FFER 2018, and Second International Workshop, DLPR 2018, Beijing, China, August 20, 2018, Revised Selected Papers
Chapter and Conference Paper
This article presents the issues related to applying computer vision techniques to identify facial expressions and recognize the mood of Traumatic Brain Injured (TBI) patients in real life scenarios. Many TBI ...
Chapter and Conference Paper
Automatic analysis of body movement to identify physical activity of patients who are at bed rest is crucial for treatment or rehabilitation purposes. Existing methods of physical activity analysis mostly focu...
Book and Conference Proceedings
Third International Workshop, VAAM 2016, and Second International Workshop, FFER 2016, Cancun, Mexico, December 4, 2016, Revised Selected Papers
Chapter
The signal, which is one of the physiological signals, is of great importance in many real-world applications, for example, in patient monitoring and biometric recognition. The traditional methods for measur...
Chapter and Conference Paper
Chapter and Conference Paper
Super-resolution algorithms are used to improve the quality and resolution of low-resolution images. These algorithms can be divided into two classes of hallucination- and reconstruction-based ones. The improv...