30 documents found, page 1 of 3
Sensor fusion approach for multiple human motion detection for indoor surveilla...
Abbasi, Ali; Queirós, Sandro; Costa, Nuno Miguel Cerqueira; Fonseca, Jaime C.; Borges, JoãoMulti-human detection and tracking in indoor surveillance is a challenging task due to various factors such as occlusions, illumination changes, and complex human-human and human-object interactions. In this study, we address these challenges by exploring the benefits of a low-level sensor fusion approach that combines grayscale and neuromorphic vision sensor (NVS) data. We first generate a custom dataset using...
Hybrid approach to promote social interaction with children with autism spectru...
Silva, Vinicius Corrêa Alves; Soares, Filomena; Esteves, João Sena; Pereira, Ana Paula da Silva; Leão, Celina Pinto; Queirós, SandroThe comprehension of the emotional state of others is paramount for a successful human interaction. Individuals with Autism Spectrum Disorder (ASD) have impairments in social communication and, consequently, they have difficulties to interpret others’ state of mind. In order to tackle this issue, researchers have been proposing the use of technological solutions to assist children with ASD, particularly in imit...
A system for the generation of in-car human body pose datasets
Silva, João Pedro Borges Araújo Oliveira; Queirós, Sandro; Oliveira, Bruno; Torres, Helena Daniela Ribeiro; Rodrigues, Nelson; Coelho, VictorWith the advent of autonomous vehicles, detection of the occupants’ posture is crucial to tackle the needs of infotainment interaction or passive safety systems. Generative approaches have been recently proposed for human body pose in-car detection, but this type of approaches requires a large training dataset for a feasible accuracy. This requirement poses a difficulty, given the substantial time required to a...
Kidney Segmentation in Three-Dimensional Ultrasound Images using a Fast Phase-b...
Torres, Helena R.; Queirós, Sandro; Morais, Pedro; Oliveira, Bruno; Gomes-Fonseca, João; Mota, Paulo; Lima, Estevão; D'hooge, Jan; Fonseca, Jaime C.Renal ultrasound imaging is the primary imaging modality for the assessment of the kidney’s condition and is essential for diagnosis, treatment and surgical intervention planning, and follow-up. In this regard, kidney delineation in three-dimensional ultrasound images represents a relevant and challenging task in clinical practice. In this paper, a novel framework is proposed to accurately segment the kidney in...
Assessment of electromagnetic tracking systems in a surgical environment using ...
Fonseca, João; Veloso, Fernando; Queirós, Sandro; Morais, Pedro; Pinho, António; Fonseca, Jaime; Pinto, Jorge; Lima, Estevão; Vilaça, JoãoPurpose: Electromagnetic tracking systems (EMTSs) have been proposed to assist the percutaneous renal access (PRA) during minimally invasive interventions to the renal system. However, the influence of other surgical instruments widely used during PRA (like ureteroscopy and ultrasound equipment) in the EMTS performance is not completely known. This work performs this assessment for two EMTSs (Aurora® Planar Fie...
Assessment of aortic valve tract dynamics using automatic tracking of 3D transe...
Queirós, Sandro; Morais, Pedro; Fehske, Wolfgang; Papachristidis, Alexandros; Voigt, Jens-Uwe; Fonseca, Jaime C.; D'hooge, Jan; Vilaça, João L.The assessment of aortic valve (AV) morphology is paramount for planning transcatheter AV implantation (TAVI). Nowadays, pre-TAVI sizing is routinely performed at one cardiac phase only, usually at mid-systole. Nonetheless, the AV is a dynamic structure that undergoes changes in size and shape throughout the cardiac cycle, which may be relevant for prosthesis selection. Thus, the aim of this study was to presen...
Top-Down Human Pose Estimation with Depth Images and Domain Adaptation
Rodrigues, Nélson; Torres, Helena; Oliveira, Bruno; Borges, João; Queirós, Sandro; Mendes, José; Fonseca, Jaime; Coelho, Victor; Brito, Jsé HenriqueIn this paper, a method for estimation of human pose is proposed, making use of ToF (Time of Flight) cameras. For this, a YOLO based object detection method was used, to develop a top-down method. In the first stage, a network was developed to detect people in the image. In the second stage, a network was developed to estimate the joints of each person, using the image result from the first stage. We show that ...
Real-Time Human Body Pose Estimation for In-Car Depth Images
Torres, Helena R.; Olivreira, Bruno; Fonseca, Jaime; Queirós, Sandro; Rodrigues, Nélson; Coelho, Victor; Pallauf, Johannes; Brito, José HenriqueOver the next years, the number of autonomous vehicles is expected to increase. This new paradigm will change the role of the driver inside the car, and so, for safety purposes, the continuous monitoring of the driver/passengers becomes essential. This monitoring can be achieved by detecting the human body pose inside the car to understand the driver/passenger’s activity. In this paper, a method to accurately d...
Surface-based registration between CT and US for image-guided percutaneous rena...
Gomes-Fonseca, João; Queirós, Sandro; Morais, Pedro; Pinho, António C. M.; Fonseca, Jaime C.; Correia-Pinto, Jorge; Lima, Estevão; Vilaça, João L.Purpose: As a crucial step in accessing the kidney in several minimally invasive interventions, percutaneous renal access (PRA) practicality and safety may be improved through the fusion of computed tomography (CT) and ultrasound (US) data. This work aims to assess the potential of a surface-based registration technique and establish an optimal US acquisition protocol to fuse 2D US and CT data for image-guided ...
Semi-Automatic Estimation of Device Size for Left Atrial Appendage Occlusion in...
Morais, Pedro; Vilaça, João L.; Queirós, Sandro; De Meester, Pieter; Budts, Werner; R. S. Tavares, João M.; D'hooge, JanLeft atrial appendage (LAA) occlusion is used to reduce the risk of thromboembolism in patients with nonvalvular atrial fibrillation, by obstructing the LAA through a percutaneously delivered device. Nonetheless, correct device sizing is complex, requiring the manual estimation of different measurements in pre-/peri-procedural images, which is tedious, time-consuming and with high inter- and intra-observer vari...