A review of statistical approaches to level set segmentation: integrating color, texture, motion and shape
Since their introduction as a means of front propagation and their first application to edge-
based segmentation in the early 90's, level set methods have become increasingly popular …
based segmentation in the early 90's, level set methods have become increasingly popular …
Video processing from electro-optical sensors for object detection and tracking in a maritime environment: A survey
We present a survey on maritime object detection and tracking approaches, which are
essential for the development of a navigational system for autonomous ships. The electro …
essential for the development of a navigational system for autonomous ships. The electro …
Moving object detection by detecting contiguous outliers in the low-rank representation
Object detection is a fundamental step for automated video analysis in many vision
applications. Object detection in a video is usually performed by object detectors or …
applications. Object detection in a video is usually performed by object detectors or …
DynTex: A comprehensive database of dynamic textures
R Péteri, S Fazekas, MJ Huiskes - Pattern Recognition Letters, 2010 - Elsevier
We present the DynTex database of high-quality dynamic texture videos. It consists of over
650 sequences of dynamic textures, mostly in everyday surroundings. Additionally, we …
650 sequences of dynamic textures, mostly in everyday surroundings. Additionally, we …
Modeling, clustering, and segmenting video with mixtures of dynamic textures
AB Chan, N Vasconcelos - IEEE transactions on pattern …, 2008 - ieeexplore.ieee.org
A dynamic texture is a spatio-temporal generative model for video, which represents video
sequences as observations from a linear dynamical system. This work studies the mixture of …
sequences as observations from a linear dynamical system. This work studies the mixture of …
Texture databases–a comprehensive survey
S Hossain, S Serikawa - Pattern Recognition Letters, 2013 - Elsevier
Texture analysis is a very important area in the field of computer vision and related fields.
There are a good number of databases developed by different research groups for various …
There are a good number of databases developed by different research groups for various …
Animal detection from highly cluttered natural scenes using spatiotemporal object region proposals and patch verification
In this paper, we consider the animal object detection and segmentation from wildlife
monitoring videos captured by motion-triggered cameras, called camera-traps. For these …
monitoring videos captured by motion-triggered cameras, called camera-traps. For these …
Classifying video with kernel dynamic textures
AB Chan, N Vasconcelos - 2007 IEEE Conference on …, 2007 - ieeexplore.ieee.org
The dynamic texture is a stochastic video model that treats the video as a sample from a
linear dynamical system. The simple model has been shown to be surprisingly useful in …
linear dynamical system. The simple model has been shown to be surprisingly useful in …
A dynamic conditional random field model for foreground and shadow segmentation
Y Wang, KF Loe, JK Wu - IEEE transactions on pattern analysis …, 2005 - ieeexplore.ieee.org
This paper proposes a dynamic conditional random field (DCRF) model for foreground
object and moving shadow segmentation in indoor video scenes. Given an image …
object and moving shadow segmentation in indoor video scenes. Given an image …
Dynamic texture classification using dynamic fractal analysis
In this paper, we developed a novel tool called dynamic fractal analysis for dynamic texture
(DT) classification, which not only provides a rich description of DT but also has strong …
(DT) classification, which not only provides a rich description of DT but also has strong …