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Recent advances and trends in visual tracking: A review
The goal of this paper is to review the state-of-the-art progress on visual tracking methods,
classify them into different categories, as well as identify future trends. Visual tracking is a …
classify them into different categories, as well as identify future trends. Visual tracking is a …
Liteflownet: A lightweight convolutional neural network for optical flow estimation
Abstract FlowNet2, the state-of-the-art convolutional neural network (CNN) for optical flow
estimation, requires over 160M parameters to achieve accurate flow estimation. In this paper …
estimation, requires over 160M parameters to achieve accurate flow estimation. In this paper …
Pwc-net: Cnns for optical flow using pyramid, war**, and cost volume
We present a compact but effective CNN model for optical flow, called PWC-Net. PWC-Net
has been designed according to simple and well-established principles: pyramidal …
has been designed according to simple and well-established principles: pyramidal …
Optical flow estimation using a spatial pyramid network
We learn to compute optical flow by combining a classical spatial-pyramid formulation with
deep learning. This estimates large motions in a coarse-to-fine approach by war** one …
deep learning. This estimates large motions in a coarse-to-fine approach by war** one …
DeepFlow: Large displacement optical flow with deep matching
Optical flow computation is a key component in many computer vision systems designed for
tasks such as action detection or activity recognition. However, despite several major …
tasks such as action detection or activity recognition. However, despite several major …
A naturalistic open source movie for optical flow evaluation
Ground truth optical flow is difficult to measure in real scenes with natural motion. As a result,
optical flow data sets are restricted in terms of size, complexity, and diversity, making optical …
optical flow data sets are restricted in terms of size, complexity, and diversity, making optical …
Fast optical flow using dense inverse search
Most recent works in optical flow extraction focus on the accuracy and neglect the time
complexity. However, in real-life visual applications, such as tracking, activity detection and …
complexity. However, in real-life visual applications, such as tracking, activity detection and …
A lightweight optical flow CNN—Revisiting data fidelity and regularization
Over four decades, the majority addresses the problem of optical flow estimation using
variational methods. With the advance of machine learning, some recent works have …
variational methods. With the advance of machine learning, some recent works have …
Optical flow modeling and computation: A survey
Optical flow estimation is one of the oldest and still most active research domains in
computer vision. In 35 years, many methodological concepts have been introduced and …
computer vision. In 35 years, many methodological concepts have been introduced and …
A survey of appearance models in visual object tracking
Visual object tracking is a significant computer vision task which can be applied to many
domains, such as visual surveillance, human computer interaction, and video compression …
domains, such as visual surveillance, human computer interaction, and video compression …