Crowded scene analysis: A survey

T Li, H Chang, M Wang, B Ni, R Hong… - IEEE transactions on …, 2014 - ieeexplore.ieee.org
Automated scene analysis has been a topic of great interest in computer vision and
cognitive science. Recently, with the growth of crowd phenomena in the real world, crowded …

New trends on moving object detection in video images captured by a moving camera: A survey

M Yazdi, T Bouwmans - Computer science review, 2018 - Elsevier
This paper presents a survey on the latest methods of moving object detection in video
sequences captured by a moving camera. Although many researches and excellent works …

Dynamic texture recognition using local binary patterns with an application to facial expressions

G Zhao, M Pietikainen - IEEE transactions on pattern analysis …, 2007 - ieeexplore.ieee.org
Dynamic texture (DT) is an extension of texture to the temporal domain. Description and
recognition of DTs have attracted growing attention. In this paper, a novel approach for …

Video fire detection–review

AE Çetin, K Dimitropoulos, B Gouverneur… - Digital Signal …, 2013 - Elsevier
This is a review article describing the recent developments in Video based Fire Detection
(VFD). Video surveillance cameras and computer vision methods are widely used in many …

Rotation-invariant image and video description with local binary pattern features

G Zhao, T Ahonen, J Matas… - IEEE transactions on …, 2011 - ieeexplore.ieee.org
In this paper, we propose a novel approach to compute rotation-invariant features from
histograms of local noninvariant patterns. We apply this approach to both static and dynamic …

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 …

Recognizing spontaneous micro-expression using a three-stream convolutional neural network

B Song, K Li, Y Zong, J Zhu, W Zheng, J Shi… - Ieee …, 2019 - ieeexplore.ieee.org
Micro-expression recognition (MER) has attracted much attention with various practical
applications, particularly in clinical diagnosis and interrogations. In this paper, we propose a …

Optical flow estimation for flame detection in videos

M Mueller, P Karasev, I Kolesov… - IEEE Transactions on …, 2013 - ieeexplore.ieee.org
Computational vision-based flame detection has drawn significant attention in the past
decade with camera surveillance systems becoming ubiquitous. Whereas many …

A dynamic texture-based approach to recognition of facial actions and their temporal models

S Koelstra, M Pantic, I Patras - IEEE transactions on pattern …, 2010 - ieeexplore.ieee.org
In this work, we propose a dynamic texture-based approach to the recognition of facial
Action Units (AUs, atomic facial gestures) and their temporal models (ie, sequences of …

Dynamic texture recognition using volume local binary count patterns with an application to 2D face spoofing detection

X Zhao, Y Lin, J Heikkilä - IEEE Transactions on Multimedia, 2017 - ieeexplore.ieee.org
In this paper, a local spatiotemporal descriptor, namely, the volume local binary count
(VLBC), is proposed for the representation and recognition of dynamic texture. This …