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Visual Object Target Tracking Using Particle Filter: A Survey

G.Mallikarjuna Rao, Ch. Satyanarayana
2013 International Journal of Image Graphics and Signal Processing  
This paper gives the survey of the existing developments of Visual object target tracking using particle filter from the last decade and discusses the advantage and disadvantages of various particle filters  ...  motion information [65] The proposed algorithm has novelty is to use a particle filter driven by the intrinsic motion of the tracked dynamic texture.  ...  The performance of the tracker also somewhat degrades if there is a long-duration of partial object occlusion over a large area. 43 Tracking dynamic textures using a particle filter driven by intrinsic  ... 
doi:10.5815/ijigsp.2013.06.08 fatcat:olg4prc5pjghza3pwzi6cigvky

A Literature Review on Video Analytics of Crowded Scenes [chapter]

Myo Thida, Yoke Leng Yong, Pau Climent-Pérez, How-lung Eng, Paolo Remagnino
2013 Intelligent Multimedia Surveillance  
The rationale of our review is justified by a recent increase in intelligent video surveillance algorithms capable of analysing automatically visual streams of very crowded and cluttered scenes, such as  ...  This chapter presents a review and systematic comparison of the state of the art on crowd video analysis.  ...  [52] combined motion information and appearance features to represent the local properties of a scene. The normality of a crowded scene is learned using a mixture of dynamic textures.  ... 
doi:10.1007/978-3-642-41512-8_2 fatcat:m45yawffhzgypcn6nsjicrvhkm

SIMULATION ANALYSIS FOR THE EFFECT OF LIGHT-DARK CYCLE ON THE ENTRAINMENT IN CIRCADIAN RHYTHM

NATSUMI MITOU, YUTO IKEGAMI, HIROSHI MATSUNO, SATORU MIYANO, SHIN-ICHI T. INOUYE
2008 Genome Informatics 2008  
Finally, the learned tracker is developed in a particle-filter-style tracking framework.  ...  We will show that the obtained expression space is superior to the space obtained by PCA. Then the dynamical model is derived and trained on this intrinsic expression space.  ...  Finally, the learned intrinsic expression model is integrated into a particle filter style framework for tracking.  ... 
doi:10.1142/9781848163324_0018 fatcat:2dgvl5aze5hwtcsgxgvvlkbq2e

Author Index

2010 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition  
New Texture Descriptor Using Multifractal Analysis in Multi-orientation Wavelet Pyramid Use Bin-Ratio Information for Category and Scene Classification Workshop: A Swarm Intelligence Based Searching  ...  3D Shape Analysis Fei-Fei, Li Efficient Extraction of Human Motion Volumes by Tracking Building and Using a Semantivisual Image Hierarchy Grouplet: A Structured Image Representation for Recognizing  ... 
doi:10.1109/cvpr.2010.5539913 fatcat:y6m5knstrzfyfin6jzusc42p54

Real-time Motion Tracking from a Mobile Robot

Boyoon Jung, Gaurav S. Sukhatme
2009 International Journal of Social Robotics  
multiple particle filters.  ...  A mobile robot needs to perceive the motions of external objects to perform tasks successfully in a dynamic environment.  ...  also uses a particle filter to track multiple objects using a stationary camera.  ... 
doi:10.1007/s12369-009-0038-y fatcat:tllbe7e2ivclxbelbwjeqvrmei

Stereovision-Based Sensor for Intersection Assistance [chapter]

Sergiu Nedevschi, Radu Danescu, Tiberiu Marita, Florin Oniga, Ciprian Pocol, Silviu Bota, Marc Michael Meinecke, Marian Andrzej Obojski
2009 Advanced Microsystems for Automotive Applications 2009  
The fullsize images are further rectified, un-distorted and down sampled in a single step using reverse mapping and bilinear interpolation [7] in order to minimize the noise introduced by the digital rectification  ...  A reliable stereovision sensor for urban driving assistance has been developed by our team [1].  ...  Acknowledgement This work was supported by Volkswagen AG Germany, Technical University of Cluj-Napoca Romania and recently is supported by the "INTERSAFE-2" EU founded project.  ... 
doi:10.1007/978-3-642-00745-3_10 fatcat:6tyilwjxwbeohjewb3bg2j7lxu

Localizing a mobile robot with intrinsic noise

B. F. Allen, F. Picon, S. Dalibard, N. Magnenat-Thalmann, D. Thalmann
2012 2012 3DTV-Conference: The True Vision - Capture, Transmission and Display of 3D Video (3DTV-CON)  
The resulting sound-bearing data is combined with robot odometry using a particle filter. Experiments conducted in a noisy office environment show substantial improvement over odometry alone.  ...  The intrinsic noise of robots is a flexible and robust, yet under-examined, source for localization information.  ...  signals coming from the robot; second, we have performed probabilistic localization using a particle filter.  ... 
doi:10.1109/3dtv.2012.6365480 dblp:conf/3dtv/AllenPDMT12 fatcat:zeeh2tonyzcdzl3ufviacost6i

Crowded Scene Analysis: A Survey

Teng Li, Huan Chang, Meng Wang, Bingbing Ni, Richang Hong, Shuicheng Yan
2015 IEEE transactions on circuits and systems for video technology (Print)  
Automated scene analysis has been a topic of great interest in computer vision and cognitive science.  ...  In the past few years, an increasing number of works on crowded scene analysis have been reported, covering different aspects including crowd motion pattern learning, crowd behavior and activity analysis  ...  In this framework, a scene is represented by a grid of particles initializing a dynamical system defined by the optical flow.  ... 
doi:10.1109/tcsvt.2014.2358029 fatcat:prgoh37gjfcl7n6dp2u6tsdoda

Trail following with omnidirectional vision

C Rasmussen, Yan Lu, M Kocamaz
2010 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems  
Through a combination of visual cues provided by stereo omnidirectional color cameras and ladar-based structural information, the algorithm is able to detect and track rough paths despite widely varying  ...  A motion planner is also described which takes the trail shape estimate and local map to plan smooth trajectories around in-trail and near-trail hazards.  ...  Nevertheless, this has been sufficient for the dynamics used in the trail tracker particle filter and for obstacle map maintenance over a 10 − 20 m scale.  ... 
doi:10.1109/iros.2010.5650189 dblp:conf/iros/RasmussenLK10 fatcat:m73qyd7xbrarhhkh5xzqnpy2u4

Vision Based Hand Gesture Recognition

Yanmin Zhu, Zhibo Yang, Bo Yuan
2013 2013 International Conference on Service Sciences (ICSS)  
This paper presents a comprehensive review on vision based hand gesture recognition, with an emphasis on dynamic hand gestures.  ...  Then, a number of popular related technologies and interesting applications are reviewed.  ...  For hand tracking, adjustment of the original algorithm is necessary, such as the incorporation of Kalman filtering [24] . 3) Particle Filtering Particle filters can be used to track objects in densely  ... 
doi:10.1109/icss.2013.40 fatcat:5jrbkempurfyvjo2hmydugvyzi

A New Algorithm for Robust Pedestrian Tracking Based on Manifold Learning and Feature Selection

Min Wang, Hong Qiao, Bo Zhang
2011 IEEE transactions on intelligent transportation systems (Print)  
Although intrinsic features are useful for tracking, algorithms that directly apply intrinsic features could not guarantee stable performance due to the influence from a complicated background.  ...  A new kind of manifold subspace is introduced, in which the intrinsic features of the target's motion can be best preserved, and the dimensionality of feature is very low.  ...  The work in [2] integrates detection and tracking in a Bayesian framework based on particle filtering, combining appearance models with the observation of shape and texture.  ... 
doi:10.1109/tits.2011.2148717 fatcat:tylnz3uosnbovkhpi3udxk2ata

Modeling Expectation Violation in Intuitive Physics with Coarse Probabilistic Object Representations

Kevin Smith, Lingjie Mei, Shunyu Yao, Jiajun Wu, Elizabeth S. Spelke, Josh Tenenbaum, Tomer Ullman
2019 Neural Information Processing Systems  
We propose ADEPT, a model that uses a coarse (approximate geometry) object-centric representation for dynamic 3D scene understanding.  ...  Inference integrates deep recognition networks, extended probabilistic physical simulation, and particle filtering for forming predictions and expectations across occlusion.  ...  This work was sponsored by the Army Research Office accomplished under Grant Number W911NF-18-1-0019, by NSF STC award CCF-1231216, by ONR MURI N00014-13-1-0333, and by Honda's Curious Minded Machines  ... 
dblp:conf/nips/SmithMY0STU19 fatcat:25zmoirzbncjpiwxsmz2hneuui

A survey of appearance models in visual object tracking

Xi Li, Weiming Hu, Chunhua Shen, Zhongfei Zhang, Anthony Dick, Anton Van Den Hengel
2013 ACM Transactions on Intelligent Systems and Technology  
, and camera motion.  ...  Therefore, effective modeling of the 2D appearance of tracked objects is a key issue for the success of a visual tracker.  ...  A wavelet filtering-based representation is to encode the local texture information of object appearance by wavelet transform, which is a convolution with various wavelet filters.  ... 
doi:10.1145/2508037.2508039 fatcat:uwptu4nkmbhjvib5szoafjhg3i

A Survey of Appearance Models in Visual Object Tracking [article]

Xi Li, Weiming Hu, Chunhua Shen, Zhongfei Zhang, Anthony Dick, Anton van den Hengel
2013 arXiv   pre-print
Second, the existing statistical modeling schemes for tracking-by-detection are reviewed according to their model-construction mechanisms: generative, discriminative, and hybrid generative-discriminative  ...  In particular, this survey takes a module-based architecture that enables readers to easily grasp the key points of visual object tracking.  ...  A wavelet filtering-based representation is to encode the local texture information of object appearance by wavelet transform, which is a convolution with various wavelet filters.  ... 
arXiv:1303.4803v1 fatcat:tx333ej63faufnxffjttac4jxq

Intelligent visual surveillance — A survey

In Su Kim, Hong Seok Choi, Kwang Moo Yi, Jin Young Choi, Seong G. Kong
2010 International Journal of Control, Automation and Systems  
In wide area surveillance control task, multiple cameras or agents are controlled in a cooperative manner to monitor tagged objects in motion.  ...  Detection, tracking, and understanding of moving objects of interest in dynamic scenes have been active research areas in computer vision over the past decades.  ...  Thus, a particle filter can track a point in a general environment.  ... 
doi:10.1007/s12555-010-0501-4 fatcat:pdv6jpfqfnfiraqe4ngxzvywvu
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