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Foreground Segmentation in Depth Imagery Using Depth and Spatial Dynamic Models for Video Surveillance Applications

Carlos del-Blanco, Tomás Mantecón, Massimo Camplani, Fernando Jaureguizar, Luis Salgado, Narciso García
2014 Sensors  
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

Rudrika Kalsotra, Sakshi Arora
2019 IEEE Access  
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

Thierry Bouwmans, Jordi Gonzàlez, Caifeng Shan, Massimo Piccardi, Larry Davis
2013 Machine Vision and Applications  
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]

Mubarak Shah, Lisa Brown, Harpreet S. Sawhney, Richard Szeliski
2003 Video Registration  
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

Ismail Oner Sebe, Jinhui Hu, Suya You, Ulrich Neumann
2003 First ACM SIGMM international workshop on Video surveillance - IWVS '03  
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

R. Kumar, H. Sawhney, S. Samarasekera, S. Hsu, Hai Tao, Yanlin Guo, K. Hanna, A. Pope, R. Wildes, D. Hirvonen, M. Hansen, P. Burt
2001 Proceedings of the IEEE  
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

Massimo Camplani, Carlos R. del Blanco, Luis Salgado, Fernando Jaureguizar, Narciso García
2014 Pattern Recognition Letters  
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

Vinayak Elangovan, Amir Shirkhodaie, Ivan Kadar
2011 Signal Processing, Sensor Fusion, and Target Recognition XX  
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]

Christopher King, Maria Valera, Raphael Grech, Robert Mullen, Paolo Remagnino, Luca Iocchi, Luca Marchetti, Daniele Nardi, Dorothy Monekosso, Mircea Nicolescu
2012 Chapman & Hall/CRC Cryptography and Network Security Series  
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  
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

Marco Cristani, Michela Farenzena, Domenico Bloisi, Vittorio Murino
2010 EURASIP Journal on Advances in Signal Processing  
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

Massimo Camplani, Carlos Roberto del Blanco, Luis Salgado, Fernando Jaureguizar, Narciso García
2013 Machine Vision and Applications  
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

Thierry Bouwmans, Caroline Silva, Cristina Marghes, Mohammed Sami Zitouni, Harish Bhaskar, Carl Frelicot
2018 Computer Science Review  
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]

Michael Harville
2002 Lecture Notes in Computer Science  
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

Muhammad Imran, Mattias O'Nils, Huma Munir, Benny Thörnberg
2015 Proceedings of the 9th International Conference on Distributed Smart Camera - ICDSC '15  
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
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