The goal of this article is to review the state-of-the-art tracking methods, classify them into
different categories, and identify new trends. Object tracking, in general, is a challenging …

Human motion analysis is receiving increasing attention from computer vision researchers.
This interest is motivated by a wide spectrum of applications, such as athletic performance …

Video segmentation—partitioning video frames into multiple segments or objects—plays a
critical role in a broad range of practical applications, from enhancing visual effects in movie …

Building animatable 3D models is challenging due to the need for 3D scans, laborious
registration, and manual rigging. Recently, differentiable rendering provides a pathway to …

Optical flow cannot be computed locally, since only one independent measurement is
available from the image sequence at a point, while the flow velocity has two components. A …

The goal of this paper is to present a critical survey of existing literature on human and
machine recognition of faces. Machine recognition of faces has several applications …

Accurate detection of moving objects is an important precursor to stable tracking or
recognition. In this paper, we present an object detection scheme that has three innovations …

Identifying moving objects is a critical task for many computer vision applications; it provides
a classification of the pixels into either foreground or background. A common approach used …

Existing methods for instance segmentation in videos typically involve multi-stage pipelines
that follow the tracking-by-detection paradigm and model a video clip as a sequence of …

Background subtraction algorithms define the background as parts of a scene that are at
rest. Traditionally, these algorithms assume a stationary camera, and identify moving objects …