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High Accuracy Detection and Tracking of Objects

Mr. V. M. Vijay Kannan
2013 IOSR Journal of Computer Engineering  
For the automatic detection of moving objects, some of the monitoring systems cannot able to find the difference, when the difference of brightness between the background and the moving objects is small  ...  Initially, a visual object detection approach is presented for minimizing the computation time, in order to achieve high detection accuracy. In this approach, three key contributions are described.  ...  [16] have proposed a new method to detect moving object based on background subtraction.  ... 
doi:10.9790/0661-0843135 fatcat:nc37s3nfz5brddgivlr573fumy

A Fast Laser Motion Detection and Approaching Behavior Monitoring Method for Moving Object Alarm System (MOAS)

Haiwei Dong, Nikolas Giakoumidis, Joseph B Juma, Dmitriy A Tretyakov, Nikolaos Mavridis
2012 Procedia Engineering  
To avoid such circumstances, we want to build a Moving Object Alarm System (MOAS). This paper focuses on obtaining a fast solution to monitor the moving behavior of the objects by laser for MOAS.  ...  Compared with previous work in motion detection and tracking, we are interested especially in monitoring the approaching behavior of such objects, and quickly providing an alarm in the case the situation  ...  Acknowledgements We would like to thank Leonard Helmrich and Mo Ogrodnik for their support.  ... 
doi:10.1016/j.proeng.2012.07.239 fatcat:xwuc3y2g2ngllmewzsnl3o52wa

Real-Time Tracking In Image Sequences Based-On Parameters Updating With Temporal And Spatial Neighborhoods Mixture Gaussian Model

Hu Haibo, Zhao Hong
2010 Zenodo  
This paper proposes a new Gaussian mixture modeling approach, which combines the color and gradient of the spatial information, and integrates the spatial information of the pixel sequences to establish  ...  Gaussian mixture background model is widely used in moving target detection of the image sequences.  ...  Moving object detection is a core part of the whole tracking problem, and the main approaches are frame difference, optical flow and background subtraction.  ... 
doi:10.5281/zenodo.1073520 fatcat:ezmyjpibsja4tgbonmmqqf3loa

Multiple moving objects tracking for automated visual surveillance

Yuxiang Sun, Max Q.-H. Meng
2015 2015 IEEE International Conference on Information and Automation  
We formulate the measurement assignment process as a problem of finding the matching with the maximum weight in a bipartite graph. Moving objects are detected by background subtraction.  ...  Tracking can fail due to the confusion of similar measurements from adjacent moving objects. This paper proposes an approach for multiple moving objects tracking.  ...  From the traces of the moving objects, we can see No.7 has stopped for a while. It is easy to find that No.19 is a new moving object by observing the adjacent frames.  ... 
doi:10.1109/icinfa.2015.7279544 dblp:conf/icinfa/SunM15 fatcat:3kb4tb2fazaxzd5dkbl5n7l5uq

Advanced Moving Object Detection by Using K-means Algorithm

Sri Krishna Chaitanya Rudraraju, Srinivas Chalasani
2014 International Journal of Wireless and Mobile Communication for Industrial Systems  
Moving object detection is that the essential step for extra analysis of video. It handles segmentation of moving objects from stationary background objects.  ...  Our methodology aims to section objects supported motion info and it contains a part of background modelling.  ...  To shed lightweight on the matter, we tend to gift two new techniques for moving object detection during this paper.  ... 
doi:10.21742/ijwmcis.2014.1.1.02 fatcat:h5jwvramm5grzcccfnjkgh4vzq

SARIVA: Smartphone APP for Real-time Intelligent Video Analytics

Christopher Clarke, Plamen Angelov
2014 Journal of Automation, Mobile Robotics & Intelligent Systems  
A new object detecon approach, Op cal ORB, is presented which is capable of real-me performance at high defini on resoluons on a smartphone.  ...  In addi on, the developed smartphone applica on has the ability to connect to a remote server and wirelessly send image frames when moving objects appear in the camera's field of view; thus, allowing the  ...  ACKNOWLEDGEMENTS This work is supported the SARIVA research project funded by Security Lancaster, Lancaster University, UK, 2013-14.  ... 
doi:10.14313/jamris_4-2014/32 fatcat:q3mkvsgpa5d2jjbxcif4fd33h4

Comparative Study on Vehicle Detection Techniques in Aerial Surveillance

Selvakumar S, Anbu S
2013 International Journal on Cybernetics & Informatics  
The detection of moving vehicle can be both from the dynamic aerial imagery, wide area motion imagery or images under low resolution and also the static in nature.  ...  It is often covers large area and providing better perspective of moving objects.  ...  The main objective of this paper is to explore a supreme approach of nearly high detection rate and low false alarms of different techniques. An ideal approach requires low training samples.  ... 
doi:10.5121/ijci.2013.2402 fatcat:3u32dpdvlbcjtohtulc4x4ntzq

Moving object detection in top-view aerial videos improved by image stacking

Michael Teutsch, Wolfgang Krüger, Jürgen Beyerer
2017 Optical Engineering: The Journal of SPIE  
We improve precision and recall by up to 0.011, which corresponds to a reduction of the number of false positive and false negative detections by more than 3 per second.  ...  We use image stacking in an innovative way: image registration is applied to small moving objects only, and image warping blurs the stationary background that surrounds the moving objects.  ...  Acknowledgments The research reported in this contribution was funded by the Technical Center for Information Technology and Electronics (WTD 81) of the German Federal Office for Armament and Procurement  ... 
doi:10.1117/1.oe.56.8.083102 fatcat:s55owp7r6jcuhn24vzbpde4f4m

Towards Segmenting Anything That Moves

Achal Dave, Pavel Tokmakov, Deva Ramanan
2019 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW)  
To address this concern, we propose two new benchmarks for generic, moving object detection, and show that our model matches topdown methods on common categories, while significantly out-performing both  ...  Motion cues are then combined with appearance cues that provide a generic objectness prior for capturing the full extent of objects.  ...  The most relevant approach in this respect is [9] , which trains a CNN to detect (but not segment) moving objects, and combines these detections with clustered pixel trajectories to derive segmentations  ... 
doi:10.1109/iccvw.2019.00187 dblp:conf/iccvw/DaveTR19 fatcat:ii4x67il75dl5eu34qa3pa4chu

Towards Segmenting Anything That Moves [article]

Achal Dave, Pavel Tokmakov, Deva Ramanan
2020 arXiv   pre-print
To address this concern, we propose two new benchmarks for generic, moving object detection, and show that our model matches top-down methods on common categories, while significantly out-performing both  ...  Motion cues are then combined with appearance cues that provide a generic objectness prior for capturing the full extent of objects.  ...  Implementation details Miscellaneous: We encode optical flow following [40] : We use a 3-channel image for ease of use with image-based  ... 
arXiv:1902.03715v4 fatcat:7yc4y67fhjcdhiwzeh2xmuidwu

Robust moving objects detection in lidar data exploiting visual cues

Gheorghii Postica, Andrea Romanoni, Matteo Matteucci
2016 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)  
Many works focus on changes detection in previously observed scenes, while a very limited amount of literature addresses moving objects detection.  ...  The state-of-the-art method exploits Dempster-Shafer Theory to evaluate the occupancy of a lidar scan and to discriminate points belonging to the static scene from moving ones.  ...  ACKNOWLEDGMENTS This work has been supported by the POLISOCIAL Grant "Maps for Easy Paths (MEP)", the "Interaction between Driver Road Infrastructure Vehicle and Environment (I.DRIVE)" Inter-department  ... 
doi:10.1109/iros.2016.7759185 dblp:conf/iros/PosticaRM16 fatcat:ly6b2e2chzhszk4jzi6kvfce54

New Approach for Detecting and Tracking a Moving Object

H. Hatimi, M. Fakir, M. Chabi, M. Najimi
2018 International Journal of Electrical and Computer Engineering (IJECE)  
The objective of this work is the ability to detect a moving object and locate their positions. In picture processing, tracking moving objects in a known or unknown environment is commonly studied.  ...  Now, to detect moving targets using images of the video, the background is first extracted from the successive images.  ...  The main idea of this article is to realize of an approach for detecting automatically a moving object from a set of images, from a fixed camera.  ... 
doi:10.11591/ijece.v8i5.pp3296-3303 fatcat:kmsovbbddncp7lrnqs45lxcn5m

Detecting and Tracking of Moving Objects from Video

Tushar S.Waykole, Yogendra Kumar Jain
2013 International Journal of Computer Applications  
The accurate tracking and detection of moving object is the challenging aspect of such approach.  ...  Subtraction methods are widely used for detecting and tracking moving objects in videos. It is useful in many applications such as traffic monitoring, video surveillances.  ...  Since the cameras are stationary, the detection of moving objects can be achieved by comparing each new frame with a representation of the scene background.  ... 
doi:10.5120/14224-2410 fatcat:zf3apvt5ffh55kb3e5rq5aiulq

Joint Exploitation of Features and Optical Flow for Real-Time Moving Object Detection on Drones [chapter]

Hazal Lezki, I. Ahu Ozturk, M. Akif Akpinar, M. Kerim Yucel, K. Berker Logoglu, Aykut Erdem, Erkut Erdem
2019 Landolt-Börnstein - Group III Condensed Matter  
In this paper, we propose a new approach that can detect moving objects efficiently and handle parallax cases.  ...  With the increasing availability of low-altitude aerial vehicles, new challenges for moving object detection have surfaced, both for academia and industry.  ...  This new constraint is useful to detect the moving objects which move along the same direction with the camera, which is a configuration epipolar constraint misses to detect.  ... 
doi:10.1007/978-3-030-11012-3_8 fatcat:z5irvulevbblhexiqq5gyqbaka

Low Cost, Robust and Real Time System for Detecting and Tracking Moving Objects to Automate Cargo Handling in Port Terminals [chapter]

Victor Vaquero, Ely Repiso, Alberto Sanfeliu, John Vissers, Maurice Kwakkernaat
2015 Advances in Intelligent Systems and Computing  
Two approaches of the DATMO system have been tested, the first one is oriented to detect moving obstacles and focused on tracking and filtering those detections; and the second one is focused on keepking  ...  The presented paper addresses the problem of detecting and tracking moving objects for autonomous cargo handling in port terminals using a perception system which input data is a single layer laser scanner  ...  This work has been partially funded by the EU project CargoANTs FP7-SST-2013-605598 and the Spanish CICYT project DPI2013-42458-P.  ... 
doi:10.1007/978-3-319-27149-1_38 fatcat:uwdikicqrvh3re2qutjjhlgudu
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