A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
Filters
Foreground Segmentation in Depth Imagery Using Depth and Spatial Dynamic Models for Video Surveillance Applications
2014
Sensors
Preserved Fulltext
and surveillance applications. ...
The Bayesian network explicitly exploits the intrinsic characteristics of the depth data by means of two dynamic models that estimate the spatial and depth evolution of the foreground/background regions ...
Massimo Camplani would like to acknowledge the European Union and the Universidad Politécnica de Madrid (UPM) for supporting his activities through the Marie Curie-Cofund research grant. ...
doi:10.3390/s140201961
pmid:24469352
pmcid:PMC3958249
fatcat:kmlhymnk3fa3pk2tpu6vbvw5oi
A Comprehensive Survey of Video Datasets for Background Subtraction
2019
IEEE Access
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Therefore, we systematically survey standard video datasets and list their applicability for different applications. ...
subtraction is an effective method of choice when it comes to detection of moving objects in videos and has been recognized as a breakthrough for the wide range of applications of intelligent video analytics ...
In addition to RGB and Depth images, manually segmented foreground masks are provided for some video frames as ground-truth information. ...
doi:10.1109/access.2019.2914961
fatcat:thr65j4uivehpgxtkwbsqi3yc4
Special issue on background modeling for foreground detection in real-world dynamic scenes
2013
Machine Vision and Applications
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
We would also like to thank the current Editor-in-Chief Prof. Mubarak Shah for sharing our vision and providing guidance. ...
Acknowledgments We thank all the reviewers for their valuable comments that ensure the high quality of the special issue, and all the contributing authors for their interesting and innovative work. ...
[3] develop a Bayesian framework that is able to accurately segment foreground objects in RGB-D imagery. ...
doi:10.1007/s00138-013-0578-x
fatcat:km6k36mdqraoxiu23iyokgotz4
Panel Introduction Video Registration: Key Challenges and the Potential Impact of their Solutions to the Field of Computer Vision
[chapter]
2003
Video Registration
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
However, for the estimation of global motion, the information in all pixels is used to estimate the global transformation, like affine, projective, or psuedo-perspective. ...
The next three sections deal with the opinions of the three panelists. 1 What has been accomplished in video frame-to-frame registration in the context of mosaics, panoramas, etc., and what are the new ...
Dynamic depth extraction needs to exploit both 3D spatial and temporal constraints in video alignment. ...
doi:10.1007/978-1-4615-0459-7_9
fatcat:re6ykykglvhj7kylvn5gdijqjq
3D video surveillance with Augmented Virtual Environments
2003
First ACM SIGMM international workshop on Video surveillance - IWVS '03
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2006; you can also visit the original URL.
The file type is application/pdf.
We present a novel visualization system for video surveillance based on an Augmented Virtual Environment (AVE) that fuses dynamic imagery with 3D models in a real-time display to help observers comprehend ...
Recent advances in sensing and computing technologies have inspired a new generation of data analysis and visualization systems for video surveillance applications. ...
ACKNOWLEDGMENTS This work was supported by a Multidisciplinary University Research Initiative (MRUI) on "Next Generation 4-D Distributed Modeling and Visualization", and in part by the U.S. ...
doi:10.1145/982452.982466
fatcat:xt67vuvwfffqtiskifqlbf2ao4
Aerial video surveillance and exploitation
2001
Proceedings of the IEEE
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2007; you can also visit the original URL.
The file type is application/pdf.
In this paper, we present a framework and details of the key components for real-time, automatic exploitation of aerial video for surveillance applications. ...
There is growing interest in performing aerial surveillance using video cameras. ...
ACKNOWLEDGMENT The research reported in this paper is the work of a large number of current and past members of the Vision Technologies Laboratory at Sarnoff Corporation. ...
doi:10.1109/5.959344
fatcat:zmkbari6ijgvredoomfqwq3wi4
Multi-sensor background subtraction by fusing multiple region-based probabilistic classifiers
2014
Pattern Recognition Letters
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
In the recent years, the computer vision community has shown great interest on depth-based applications thanks to the performance and flexibility of the new generation of RGB-D imagery. ...
The main contributions of the paper are the region-based models of both background and foreground, built from the depth and color data. ...
Camplani would like to acknowledge the European Union and the Universidad Politécnica de Madrid (UPM) for supporting his activities through the Marie Curie-Cofund research grant. ...
doi:10.1016/j.patrec.2013.09.022
fatcat:763n7dro4zfczmjdqeylgk4dim
A survey of imagery techniques for semantic labeling of human-vehicle interactions in persistent surveillance systems
2011
Signal Processing, Sensor Fusion, and Target Recognition XX
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2012; you can also visit the original URL.
The file type is application/pdf.
Various Persistent Surveillance System (PSS) imagery techniques have been proposed in the past for identifying human interactions with various objects in the environment. ...
The discussed techniques include model-based, shape-based and appearance-based techniques employed for identification and classification of objects. ...
They track objects appearing in a digitized video sequence with the use of a mixture of Gaussians for background/foreground segmentation and a Kaman filter for tracking. ...
doi:10.1117/12.887019
fatcat:nsxr5vr76jbjbppmctkxs6x2pq
Multi-Robot and Multi-Camera Patrolling
[chapter]
2012
Chapman & Hall/CRC Cryptography and Network Security Series
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
What is mainly thanks to 'improved performance' on software computing for depth imagery [26, 1, 2] and also more affordable stereo imagery hardware [1, 2] . ...
Object Modelling Once the foreground is segmented from the background, a colour and shapebased model is generated from the set of foreground MSER features. ...
doi:10.1201/b11631-11
fatcat:os435fxnsrc2bku4dpnn4zo4oy
Research on Salient Object Detection using Deep Learning and Segmentation Methods
2019
International journal of recent technology and engineering
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
While many models have been proposed and several applications have emerged, yet a deep understanding of achievements and issues is lacking. ...
Detecting and segmenting salient objects in natural scenes, often referred to as salient object detection has attracted a lot of interest in computer vision and recently various heuristic computational ...
., [9] developed the model for detection of salient objects in video sequences. Their model is composed of temporal and spatial mode. ...
doi:10.35940/ijrte.b1046.0982s1119
fatcat:6ofq53vb7zhx7boq4ndpraphs4
Background Subtraction for Automated Multisensor Surveillance: A Comprehensive Review
2010
EURASIP Journal on Advances in Signal Processing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2011; you can also visit the original URL.
The file type is application/pdf.
subtraction is a widely used operation in the video surveillance, aimed at separating the expected scene (the background) from the unexpected entities (the foreground). ...
There are several problems related to this task, mainly due to the blurred boundaries between background and foreground definitions. ...
Single Audio Monaural Sensor Analogously to image background modeling for video analysis, a logical initial phase in applying audio analysis to surveillance and monitoring applications is the detection ...
doi:10.1155/2010/343057
fatcat:yyz6764u3nf3jcoik3bmgeltlm
Advanced background modeling with RGB-D sensors through classifiers combination and inter-frame foreground prediction
2013
Machine Vision and Applications
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
An innovative background modeling technique that is able to accurately segment foreground regions in RGB-D imagery (RGB plus depth) has been presented in this paper. ...
In particular, the final segmentation is obtained by considering a prediction of the foreground regions, carried out by a novel Bayesian Network with a depth-based dynamic model, and, by considering two ...
in video surveillance [3] , and people detection [28] . ...
doi:10.1007/s00138-013-0557-2
fatcat:ajpktiujlzho3dfdqn5pbebobu
On the role and the importance of features for background modeling and foreground detection
2018
Computer Science Review
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
modeling has emerged as a popular foreground detection technique for various applications in video surveillance. ...
Background modeling methods have become increasing efficient in robustly modeling the background and hence detecting moving objects in any visual scene. ...
and Wren (2015) [437] Wavelet Transform (WT) (28) Discrete Wavelet Transform (DWT) (3) Huang and Hsieh (2003) Haberdar and Shah (2013) [193] Local Ternary Pattern (7 variants ...
doi:10.1016/j.cosrev.2018.01.004
fatcat:s6j5766emrcuhhwgkrvkuyy6hy
A Framework for High-Level Feedback to Adaptive, Per-Pixel, Mixture-of-Gaussian Background Models
[chapter]
2002
Lecture Notes in Computer Science
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2015; you can also visit the original URL.
The file type is application/pdf.
By pooling the foreground error corrections of many high-level modules into a shared, pixel-level TAPPMOG model in this way, we improve the quality of the foreground segmentation and the performance of ...
To alleviate tradeoffs such as these, and, more broadly, to allow TAPPMOG segmentation results to be tailored to the specific needs of an application, we introduce a general framework for guiding pixel-level ...
Acknowledgments The author would like to thank Tyzx Inc. and Interval Research Corp. for their support in publishing this work and their permission to use data sets obtained at Interval. ...
doi:10.1007/3-540-47977-5_36
fatcat:gtjadevnnncsthfd4vw232vr4e
Low complexity FPGA based background subtraction technique for thermal imagery
2015
Proceedings of the 9th International Conference on Distributed Smart Camera - ICDSC '15
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
In this work, a low complexity background modelling and subtraction technique has been proposed for thermal imagery. ...
Embedded smart camera systems are gaining popularity for a number of real world surveillance applications. ...
In this work, we investigated and implemented a low complexity background modelling and subtraction technique, which is an important step in an imaging flow for surveillance applications. ...
doi:10.1145/2789116.2789121
dblp:conf/icdsc/ShahzadOMT15
fatcat:i55swpyhargsbm72khrxoxm6x4
« Previous
Showing results 1 — 15 out of 943 results