Recent approaches to point tracking are able to recover the trajectory of any scene point
through a large portion of a video despite the presence of occlusions. They are however too …

Recent deep learning-based optical flow estimators have exhibited impressive performance
in generating local flows between consecutive frames. However, the estimation of long …

In this article, we provide a basic introduction to CMOS image-sensor technology, design
and performance limits and present recent developments and future directions in this area …

Existing optical flow datasets are limited in size and variability due to the difficulty of
capturing dense ground truth. In this paper, we tackle this problem by tracking pixels through …

Single-photon sensors measure light signals at the finest possible resolution--individual
photons. These sensors introduce two major challenges in the form of strong Poisson noise …

Optical-flow computation is a well-known technique and there are important fields in which
the application of this visual modality commands high interest. Nevertheless, most real-world …

The Lucas-Kanade (LK) algorithm is a cost-efficient gradient-based algorithm for real-time
optical flow generation. An excessive external memory access limits the LK algorithm from …

Reality: The final frontier. Since the early beginnings of computer graphics, creating
authentic models of real-world objects and achieving visual realism have been major goals …

This paper presents a practical framework and its applications of motion tracking algorithms
applied to structural dynamics. Tracking points (“features”) across multiple images are a …

Small-scale PV generation is particularly affected by the irradiance variability produced by
cloud shadows. Accurate predictions of the clouds passing over the PV field are thus …