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Real-time motion segmentation from moving cameras

Rita Cucchiara, Andrea Prati, Roberto Vezzani
2004 Real-time imaging  
This paper describes our approach to real-time detection of camera motion and moving object segmentation in videos acquired from moving cameras.  ...  As far as we know, none of the proposals reported in the literature are able to meet real-time requirements.  ...  Conclusions We proposed a real-time approach based on color and motion segmentation with MRF for moving object detection in moving background or in general in video acquired by moving cameras.  ... 
doi:10.1016/j.rti.2004.03.002 fatcat:lrozbjqogncmjkkd6ipqofqkru

Fast Dynamic Mosaicing and Person Following

A. Prati, F. Seghedoni, R. Cucchiara
2006 18th International Conference on Pattern Recognition (ICPR'06)  
Experimental results on a live active camera demonstrate the feasibility of real-time person following.  ...  The proposed approach is based on the so-called direction histograms to compute the ego-motion and on frame differencing for detecting moving objects.  ...  From the computational point of view, the system works in real time, with an average frame rate from live camera of about 8 fps, including also the person following task.  ... 
doi:10.1109/icpr.2006.544 dblp:conf/icpr/PratiSC06 fatcat:l4we3yiwx5flxj2343s6g74ggm

Real-time stereo and flow-based video segmentation with superpixels

Michael Van den Bergh, Luc Van Gool
2012 2012 IEEE Workshop on the Applications of Computer Vision (WACV)  
A novel real-time superpixel segmentation algorithm is presented which uses real-time stereo and realtime optical flow.  ...  In particular, it enables reliable segmentation of persons, and of moving hands or arms. We show that our method is competitive with the state of the art while approaching real-time performance.  ...  Point Grey Grasshopper cameras and depth provided by real-time stereo.  ... 
doi:10.1109/wacv.2012.6163004 dblp:conf/wacv/BerghG12 fatcat:alr2e4jgljenrks2bpcczspz5u

Incremental Real-Time Multibody VSLAM with Trajectory Optimization Using Stereo Camera [article]

N Dinesh Reddy, Iman Abbasnejad, Sheetal Reddy, Amit Kumar Mondal, Vindhya Devalla
2016 arXiv   pre-print
The segmented objects motion models are used for accurate localization of the camera trajectory as well as the moving objects.  ...  In this paper, we perform a sparse scene flow based motion segmentation using a stereo camera.  ...  Our approach emphasis on a real time approach for moving object trajectory optimization. We obtain our real time motion detection and segmentation from the sparse motion segmentation algorithm [6] .  ... 
arXiv:1608.01024v1 fatcat:e3cnafjkdvddrbdmbda66mop2u

Real-Time Foreground Segmentation for the Moving Camera Based on H.264 Video Coding Information

Wei-Di Hong, Tien-Hsu Lee, Pao-Chi Chang
2007 Future Generation Communication and Networking (FGCN 2007)  
In this paper, we propose a real-time foreground segmentation algorithm for the moving camera based on the H.264 video coding information.  ...  Due to most videos are compressed, foreground segmentation can benefit from utilizing such coding information and save much processing time.  ...  Therefore, our goal is to exploit such H.264 video coding information to achieve real-time foreground segmentation for the video captured from moving cameras.  ... 
doi:10.1109/fgcn.2007.191 dblp:conf/fgcn/HongLC07 fatcat:aodjwd5r3ffsfgqw4xe6ummrke

DymSLAM:4D Dynamic Scene Reconstruction Based on Geometrical Motion Segmentation [article]

Chenjie Wang and Bin Luo and Yun Zhang and Qing Zhao and Lu Yin and Wei Wang and Xin Su and Yajun Wang and Chengyuan Li
2020 arXiv   pre-print
We conducted experiments in a real-world environment where both the camera and the objects were moving in a wide range.  ...  Then the interesting points belonging to different motion models (including ego-motion and motion models of rigid moving objects) are segmented by a multi-model fitting approach.  ...  T C t C 1 is the motion of the camera at time instant t. V. MOVING OBJECT MASK A.  ... 
arXiv:2003.04569v1 fatcat:7eejtg5asra3bj5kbbdsl45caq

Compressed Domain Motion Analysis for Video Semantic Events Detection

Kun Tao, Shouxun Lin, Yongdong Zhang
2009 2009 WASE International Conference on Information Engineering  
In this paper, a novel approach is proposed to estimate camera motion and segment moving objects from compressed video streams, aiming to detect semantic events in video clips.  ...  Then the segmentation of moving objects is done at macroblock level.  ...  CAMERA MOTION ESTIMATION & MOVING OBJECTS SEGMENTATION A. The Preprocessing Step The motion vectors used in our approach are extracted from compressed MPEG streams.  ... 
doi:10.1109/icie.2009.211 fatcat:feq5qsk7tbcnlferngrvxv2pem

FuseMODNet: Real-Time Camera and LiDAR based Moving Object Detection for robust low-light Autonomous Driving [article]

Hazem Rashed, Mohamed Ramzy, Victor Vaquero, Ahmad El Sallab, Ganesh Sistu, Senthil Yogamani
2019 arXiv   pre-print
In this work, we propose a robust and real-time CNN architecture for Moving Object Detection (MOD) under low-light conditions by capturing motion information from both camera and LiDAR sensors.  ...  Motion can be perceived using temporal information such as optical flow.  ...  Table 2 shows real-time evaluation performance of our algorithm. Our proposed model runs 18 fps which is suitable for real-time application such as the autonomous driving.  ... 
arXiv:1910.05395v3 fatcat:xljvnzdh7jhnddvyoac6uvihfi

Space-Time-Brightness Sampling Using an Adaptive Pixel-Wise Coded Exposure

Hajime Nagahara, Dengyu Liu, Toshiki Sonoda, Jinwei Gu
2018 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)  
The proposed method adaptively updates a pixel-wise coded exposure pattern using the information analyzed from previously captured frames.  ...  To the best of our knowledge, our prototype is the first implementation of an adaptive pixel-wise coded exposure camera.  ...  We apply a random exposure pattern for the moving regions, and a density mosaic pattern for the static region from the real-time feedback of the segmentation result.  ... 
doi:10.1109/cvprw.2018.00237 dblp:conf/cvpr/NagaharaSLG18 fatcat:wig2tlznyzh4tchjmlncvzd37u

Computational Tasks in Bronchoscope Navigation During Computer-Assisted Transbronchial Biopsy [chapter]

Jarosław Bułat, Krzysztof Duda, Mirosław Socha, Paweł Turcza, Tomasz Zieliński, Mariusz Duplaga
2008 Lecture Notes in Computer Science  
In the paper the following computational aspects are described: correction of camera lens distortion, fast approximate estimation of endoscope ego-motion, reconstruction of bronchial tree from CT data  ...  The navigation exploits principle of on-line registration of real images coming from endoscope camera and virtual ones generated on the base of computed-tomography (CT) data of a patient.  ...  It makes use of real-time registration of real 2D images (coming from an endoscope) and virtual ones (obtained from virtual camera looking inside a 3D model of bronchial tree, reconstructed from CT patient  ... 
doi:10.1007/978-3-540-69389-5_21 fatcat:cybgeihrcrh5xatgwwsdbu227e

A Novel Video Retrieval Method to Support a User's Recollection of Past Events Aiming for Wearable Information playing [chapter]

Tatsuyuki Kawamura, Yasuyuki Kono, Masatsugu Kidode
2001 Lecture Notes in Computer Science  
We propose three functional methods: image retrieval with motion information, video scene segmentation, and real-time video retrieval.  ...  location-based recollection of past events with direct input such as in always 'gazing' video data, which allows the user to associate by simply looking at a viewpoint, and providing stable online and real-time  ...  data for real-time process.  ... 
doi:10.1007/3-540-45453-5_4 fatcat:5yg6oquukrcfdicyuy5dekkfwe

Real-time and accurate segmentation of moving objects in dynamic scene

Tao Yang, Stan Z. Li, Quan Pan, Jing Li
2004 Proceedings of the ACM 2nd international workshop on Video surveillance & sensor networks - VSSN '04  
Secondly, a real-time and accurate moving object segmentation algorithm is presented for moving object localization.  ...  The results show that the proposed algorithm is effective and efficient in real-time and accurate background update and moving object segmentation.  ...  This paper addresses the problem of real time moving object segmentation in dynamic scene.  ... 
doi:10.1145/1026799.1026822 fatcat:qtseezlc5jbjle6swt7u3jy2le

Coarse Image Motion for Saccade Control

P. F. McLauchlan, I. Reid, D. W. Murray
1992 Procedings of the British Machine Vision Conference 1992  
The apparently moving background is segmented from the moving objects in the scene using a prediction of the background flow obtained from head odometry.  ...  We describe a 2D vision module that estimates the motion of moving objects for the purpose of driving saccadic head/eye motions to fixate them.  ...  Acknowledgements This work was supported by Esprit (Project 5390: Real Time Gaze Control) and the SERC (grant number GR/G30003).  ... 
doi:10.5244/c.6.37 dblp:conf/bmvc/McLauchlanRM92 fatcat:7hcpypdi4zc2xfoyceksi4vwke

Coarse Image Motion for Saccade Control [chapter]

Philip F. McLauchlan, Ian Reid, David W. Murray
1992 BMVC92  
The apparently moving background is segmented from the moving objects in the scene using a prediction of the background flow obtained from head odometry.  ...  We describe a 2D vision module that estimates the motion of moving objects for the purpose of driving saccadic head/eye motions to fixate them.  ...  Acknowledgements This work was supported by Esprit (Project 5390: Real Time Gaze Control) and the SERC (grant number GR/G30003).  ... 
doi:10.1007/978-1-4471-3201-1_37 fatcat:pk5nljpecbbn5kki44fqplyt3i

Occlusion-Resistant Camera Design for Acquiring Active Environments

Daniel G. Aliaga, Yi Xu, Voicu Popescu
2007 IEEE Computer Graphics and Applications  
Our cameras explicitly remove interfering dynamic occluders from acquired data in real-time and during live capture.  ...  Our key idea is to capture the scene at least twice from each viewpoint as the camera moves continually to sweep the scene and sample all surfaces.  ...  motion in real time and sampling what is behind a moving occluder.  ... 
doi:10.1109/mcg.2007.132 pmid:17913026 fatcat:sjenypgif5gvlcbnlvyd223lom
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