Tracking Archives - RSIP Vision

PCNL – Planning and real-time navigation

Urolithiasis, or kidney stones, is a common pathology affecting nearly 10% of the population in the USA. Percutaneous Nephrolithotomy (PCNL) is a minimally invasive urology

Real time SLAM in Endoscopy Applications

A family of algorithms called simultaneous localization and mapping (SLAM) are able, in real time, to create a 3D map of a scene captured by a camera and calculate with very high accuracy the location of the camera in the scene. As a result, RSIP Vision’s engineers are able to create a precise 3D model of the endoscope environment and calculate its exact location in that model.

Detection and Tracking of Tumors

RSIP Vision’s oncology software combines detection of lesions and tumors in the human body with tracking those findings along CT scans performed during the research: in particular lung, lymph nodes and liver. These tools enable a quick and accurate assessment of the efficacy of the new treatment.

Automated RECIST Measurement

The golden standard for measuring tumors is the RECIST score. RSIP Vision developed an automated module to accurately measure the RECIST score from CT scans as well as the exact 3D volume of the tumors. Changes in volume are a reliable measure of the progression or remission of the tumor, enabling to evaluate the responsiveness of the treatment in a relatively short time.

Catheter Navigation System with RL

The typical catheter navigation system relies on fluoroscopy, which exposes patients to dangerous irradiation. To limit the dose throughout the operation, endoscopic cameras are used

Intrusion Detection with Deep Learning

Detecting physical and virtual intrusions is a key process in ensuring information and property security. Physical intrusion detection refers to all attempts at break-ins to

GAN for non-rigid object tracking

Object identification and tracking remains a challenging task in computer vision, despite advances in hardware, computational, and algorithmic developments. Difficulties arise, in part, due to

Object Tracking at High fps

Object tracking in video sequences is a classical challenge in computer vision, which finds applications in nearly all domains of the industry: from assembly line

The algorithm searches for information in each frame

Temporal point process sampling in video

Object identification and tracking in a sequence of frames (video) consists of sampling of the scene, by e.g raster or uniform scatter, to extract features

Video tracking of animal behavior

Animals display a diverse set of behavior, not always well interpreted by humans: some of these behavioral patterns disclose animals’ intensions, needs, and distresses. Thousands

Cardiovascular Ultrasound Software

The software created by RSIP Vision uses segmentation algorithms that isolate heart walls in a noisy ultrasound image. The combination of RSIP’s image processing software with cardiovascular ultrasound provides detailed noninvasive heart monitoring system, transforming a noisy image into a clear view of the heart ventricles, enabling the medical professional to witness heart function and activities.

Three-dimensional reconstruction of a deformable object

Reconstruction of the three-dimensional surface of an object based on single view 2-D sequence of images is a highly challenging task. Challenges stem in part

Object tracking in videos

Object tracking in videos is a classical computer vision problem. It consists of not only detecting the object in a scene but also recognizing the

Validation of accuracy in navigation systems

System validation of accuracy is an offline procedure performed periodically to confirm that the tracking system is accurate. In some cases, validation of accuracy can

Navigation Systems in Orthopedic Surgery

The navigation system is one of the most powerful tools for the surgeon in orthopedic surgery. The visualization system aids the surgeon to place his

Retinal images enhancement

Image enhancement of retinal structures has the potential to facilitate diagnosis of several eye diseases. Retinal disease diagnosis and monitoring often requires very delicate analysis

People counting with infrared camera

The FLIR Lepton is a low-resolution LongWave InfraRed (LWIR) camera. The purpose of this article is to explain the main challenges presented by the use

Deformable pattern matching and classification

Three sources of apparent object deformation can occur: a change in the shape of the object itself, partial or full occlusion by dynamically changing background

Cataract surgery software

Our technology can guide surgeons performing a cataract surgery procedure, by tracking points of interest and their movement. In this way, cuts will be minimized and all operations will be performed with the highest precision. RSIP Vision is able to do that thanks to sophisticated detection and extraction algorithms in the field of image processing, providing the most accurate cataract surgery tool.

Object feature tracking in natural scenes

Augmented reality (AR), the superposition of virtual graphical models on screen, has been steadily progressing and finds its application in diverse domain from recreational to

Segmentation and tracking of kidney stones

An affected anatomical region can be treated in a selective and non-invasive manner by localized and contact-free methods such as high-intensity focused ultrasound. Treatment by

Flexible medical instruments for endoscopic surgery

Instrument tracking for robotic aided surgery

The success of complex fine-scale surgery depends heavily on surgeons’ agility, state of fatigue and their freedom to manipulate miniature instruments in the target organ. Internal organs

Minimally Invasive Robotic Surgery

Minimally Invasive Surgery (MIS) has emerged as a paradigm shift in modern surgical practices dating back to the early 1990s. What is Minimally Invasive Surgery?

Live cells tracking

Manual cell inspection is limited to tracking a relatively small number of cells in short periods of time and it is prone to human errors. On the other hand, computer vision algorithms can be used to perform fast scanning, segmentation and tracking of large cell populations over long periods of time. Taking advantage of our experience in segmentation, microscopy and machine learning, this procedure helps saving both labor and time, hence enabling more timely diagnostic and therapy.

Tag: Tracking