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Applied Techniques in Tracking Moving Targets in Marine Using Image Processing

Hossein Kardan Moghaddam, Ali Asghar Yarifard
2016 Open Journal of Marine Science  
Moving objects tracking is one of the most used categories in the realm of machine vision that has attracted attention of so many researchers in recent decades.  ...  Video tracking has various applications in military industries, protective systems and machine vision. Target tracking algorithms vary according to their usages.  ...  Moreover, optical flow is also used for tracking objects as a known method. In research [57] optical flow has been used for detection and moving object tracking.  ... 
doi:10.4236/ojms.2016.64042 fatcat:g5cbs7xa2neergls76yu6gjvhe

Specified Object Tracking Problem in an Environment of Multiple Moving Objects

Seung-Min Park, Jun-Heong Park, Hyung-Bok Kim, Kwee-Bo Sim
2011 International Journal of Fuzzy Logic and Intelligent Systems  
In this paper, we introduce a specified object tracking based particle filter used in an environment of multiple moving objects.  ...  A differential image region based tracking method for the detection of multiple moving objects is used.  ...  Conclusion The goal of our experiment is to track particularly selected moving object in an environment of multiple moving objects. We used background subtraction algorithm for object detection.  ... 
doi:10.5391/ijfis.2011.11.2.118 fatcat:tmpjl7tbxjfnvcavg7kut3obxu

Object Tracking based on Quantum Particle Swarm Optimization [article]

Rajesh Misra, Kumar S. Ray
2017 arXiv   pre-print
object, shading which makes tracking even harder problem not only for dynamic background but also for static background.In this paper we present a new object tracking algorithm based on Dominant points  ...  basic PSO algorithm failed to do so due to heavy computation.In our approach firstly dominants points of tracked objects detected, then a group of particles form a swarm are initialized randomly over the  ...  Introduction Object Tracking simply employs the idea of following an object as long as its movement can be captured by a camera in various environment like either camera is moving with the object(Variable  ... 
arXiv:1707.05228v1 fatcat:k5wp5u4pencktgcsafvpql3vdi

Efficient Multiple Objects Detection and Tracking using Particle Filter

Sri Lakshmi Gogulamudi
2012 International Journal of Information Technology Control and Automation  
Efficient multiple objects detection and tracking using particle filter presents a new approach for detection and tracking of multiple objects in video surveillance systems using particle filtering technique  ...  Till now all previous methods like kalman filter, mean shift used only object characteristics (orientation, location and scale) for tracking, ignoring environment factors which results in high computational  ...  Particle filter [2] object tracking is proven as very efficient tracking algorithm.  ... 
doi:10.5121/ijitca.2012.2406 fatcat:xho5nafslberve4ayervyfwrzi

A Fast-Multiplying PSO Algorithm for Real-Time Multiple Object Tracking

Fakheredine Keyrouz
2012 International Journal of Computer Applications  
The basic idea of PSO is to use one swarm or one hierarchical swarm of particles to find the best estimate or the global optimum for the object location in a given search space.  ...  In this study we present a novel particle swarm optimization (PSO) algorithm with additional new features.  ...  Other techniques like Hidden Markov Models show acceptable results for concurrently tracking multiple objects [5] .  ... 
doi:10.5120/9669-4098 fatcat:irz4lnwalzbk3cqllz52nl6p5i

Visual Object Tracking In 3D With Color Based Particle Filter

Pablo Barrera, Jose M. Canas, Vicente Matellan
2007 Zenodo  
This paper addresses the problem of determining the current 3D location of a moving object and robustly tracking it from a sequence of camera images.  ...  The approach presented here uses a particle filter and does not perform any explicit triangulation. Only the color of the object to be tracked is required, but not any precisemotion model.  ...  COLOR BASED PARTICLE FILTER FOR 3D TRACKING Our approach uses the CONDENSATION algorithm [8] to estimate location of a coloured object.  ... 
doi:10.5281/zenodo.1084341 fatcat:6fsi2zfcgvdvvpgvxlv5l2um3y

A highly accurate and scalable approach for addressing location uncertainty in asset tracking applications

Rengamathi Sankarkumar, Damith C. Ranasinghe, Thuraiappah Sathyan
2014 2014 IEEE International Conference on RFID (IEEE RFID)  
In this paper, we describe an optimised tracking algorithm to predict the locations of objects in the presence of missed reads using particle filters.  ...  A scalable tracking algorithm is achieved by an object compression technique, which also leads to a significant improvement in accuracy.  ...  Memory usage of the number of particles used for tracking each object in the PF based tracking algorithm.  ... 
doi:10.1109/rfid.2014.6810710 dblp:conf/rfid/SankarkumarRS14 fatcat:6sc7s5ecfrhynhym73lazonlgy

A New Hybrid Proposed Algorithm for Multiple Vehicle Detection and Tracking in a Day-Time Environment

2019 International journal of recent technology and engineering  
novelty of our proposed work is for particle grouping of multi-vehicles such as car, bus and lorry. 3) To propose the tracking of front- view multi- vehicles in linear and non-linear motion using particle  ...  To address this issue, a new hybrid model of two-tier classifier of Haar+HOG, SVM+AdaBoost classifier algorithm based on a feature extraction algorithm is proposed in this paper.  ...  tracking used by particle and kalman filter with multilayer perceptron algorithm.  ... 
doi:10.35940/ijrte.b1526.078219 fatcat:2yjn7lmzgndktmbukqgt66x24e

Moving Object Tracking Based on Codebook and Particle Filter

Qu Zhong, Zhang Qingqing, Gao Tengfei
2012 Procedia Engineering  
We proposed a mixed tracking algorithm based on codebook and particle filter in this article.  ...  The algorithm used the codebook background model to detect the moving objects in complex scenes; Based on particle filter's special advantage in tracking non-linear, non-Gaussian moving objects, we used  ...  In this article we studied the moving objects in the complex outdoor scene. We proposed a particle filter tracking algorithm based on codebook background model.  ... 
doi:10.1016/j.proeng.2011.12.690 fatcat:p3kmzachefhlzb7t22ldlg747e

A Survey on Moving Object Tracking in Video

Barga Deori, Dalton Meitei Thounaojam
2014 International Journal on Information Theory  
Most of the methods include object segmentation using background subtraction. The tracking strategies use different methodologies like Mean-shift, Kalman filter, Particle filter etc.  ...  Detecting the objects in the video and tracking its motion to identify its characteristics has been emerging as a demanding research area in the domain of image processing and computer vision.  ...  For tracking multiple objects in the video sequences by using Kalman or particle filters, the most likely measurement for a particular moving object needs to be associated with the object's state.  ... 
doi:10.5121/ijit.2014.3304 fatcat:kxmq4fhiebagvk644u7zxrlnpq

Recursive Clustering for Multiple Object Tracking

Severine Dubuisson
2006 2006 International Conference on Image Processing  
Then, the moving areas are sampled by randomly positioning particles in high magnitude area of the filtered image. Finally, these points are clustered to obtain one class for each moving object.  ...  In this paper, we propose a method to track multiple deformable objects in video sequences using a recursive clustering scheme.  ...  In this paper, we describe a system for detecting and tracking multiple moving objects.  ... 
doi:10.1109/icip.2006.312991 dblp:conf/icip/Dubuisson06 fatcat:g76fr7dpovhxfc6ucau3oj6dzy

Multi-target pig tracking algorithm based on joint probability data association and particle filter

Longqing Sun, 1. College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, China, Yiyang Li, 2. University Medical Center Groningen, University of Groningen, Groningen 9713 GZ, Netherlands
2021 International Journal of Agricultural and Biological Engineering  
and the minimum circumscribed rectangle length-width ratio as the features to build a multi-target tracking algorithm, which based on joint probability data association and particle filter.  ...  Experimental results show the proposed algorithm can quickly and accurately track pigs in the video, and it is able to cope with partial occlusions and recover the tracks after temporary loss.  ...  [9] proposed a particle filter-based object tracking algorithm fusing color and Haar-like feature.  ... 
doi:10.25165/j.ijabe.20211404.6105 fatcat:7cvb6ymchrh6tc4oyqnjzo2xwq

Real-time Motion Tracking from a Mobile Robot

Boyoon Jung, Gaurav S. Sukhatme
2009 International Journal of Social Robotics  
We propose a set of algorithms for multiple motion tracking from a mobile robot equipped with a monocular camera and a laser rangefinder.  ...  In our algorithms, the robot ego-motion is directly estimated using corresponding feature sets in two consecutive images, and the position and velocity of a moving object is estimated in image space using  ...  Further, capabilities like localization and mapping critically depend on separating moving objects from static ones.  ... 
doi:10.1007/s12369-009-0038-y fatcat:tllbe7e2ivclxbelbwjeqvrmei

Detecting occlusion and camouflage during visual tracking

T. Chandesa, T. Pridmore, A. Bargiela
2009 2009 IEEE International Conference on Signal and Image Processing Applications  
Visual tracking is an important scientific problem; the human visual system is capable of tracking moving objects in a wide variety of situations.  ...  We use a Gaussian Mixture Model of particle distribution, extracted via the EM algorithm, to investigate the effects of occlusion and camouflage on the particle set representing a given target.  ...  Visual tracking is an important scientific problem; the human visual system is capable of tracking moving objects in a wide variety of situations.  ... 
doi:10.1109/icsipa.2009.5478700 fatcat:yvwnroyhtvhq5ckiawx46gl2zy


Budi Sugandi, Hyoungseop Kim, Joo Kooi Tan, Seiji Ishikawa, Abdul Halim Hakim, Pandian Vasant, Nader Barsoum
2009 AIP Conference Proceedings  
We proposed a method for object tracking employing a particle filter based on color feature method. A histogram-based framework is used to describe the features.  ...  In this paper, we propose a color featuresbased method for object tracking based on the particle filters. The experimental results and data show the feasibility and the effectiveness of our method.  ...  In this paper, we employ a particle filter to track a moving object based on the color features.  ... 
doi:10.1063/1.3223931 fatcat:wehs53oavfet5kl46crgh5lusu
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