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Modeling Self-Occlusions in Dynamic Shape and Appearance Tracking

Yanchao Yang, Ganesh Sundaramoorthi
2013 2013 IEEE International Conference on Computer Vision  
In this work, we model self-occlusions and dis-occlusions in a joint shape and appearance tracking framework.  ...  We present a method to track the precise shape of a dynamic object in video.  ...  In this work, we model self-occlusions and disocclusions in tracking by joint shape/appearance matching.  ... 
doi:10.1109/iccv.2013.32 dblp:conf/iccv/YangS13 fatcat:p3y7yna5xfgafdhdhwovxmlgau

Modeling Self-Occlusions/Disocclusions in Dynamic Shape and Appearance Tracking for Obtaining Precise Shape

Yanchao Yang, Yanchao Yang
2013 unpublished
Modeling Self-Occlusions/Disocclusions in Dynamic Shape and Appearance Tracking for Obtaining Precise Shape We present a method to determine the precise shape of a dynamic object from video.  ...  The purpose of this thesis is to model self-occlusion/disocclusion phenomena in a joint shape and appearance tracking framework.  ...  To our best knowledge, this is the first attempt to explicitly model self-occlusions and self-disocclusions in dynamic shape and appearance tracking framework.  ... 
fatcat:cnnijywsjjgrdg22u6vt5l33ai

Probabilistic people tracking with appearance models and occlusion classification: The AD-HOC system

Roberto Vezzani, Costantino Grana, Rita Cucchiara
2011 Pattern Recognition Letters  
The appearance-based approach allows the estimation of the pixel-wise shape of each tracked person even during the occlusion.  ...  AD-HOC (Appearance Driven Human tracking with Occlusion Classification) is a complete framework for multiple people tracking in video surveillance applications in presence of large occlusions.  ...  Terrorism and other Security-related Risks Programme European Commission -Directorate-General Justice, Freedom and Security.  ... 
doi:10.1016/j.patrec.2010.11.003 fatcat:rdkehri3kngkzoc7b7zgauy6da

Shape Tracking With Occlusions via Coarse-To-Fine Region-Based Sobolev Descent [article]

Yanchao Yang, Ganesh Sundaramoorthi
2013 arXiv   pre-print
In this work, we model self-occlusions and dis-occlusions in a joint shape and appearance tracking framework.  ...  In cases of 3D object motion and viewpoint change, self-occlusions and dis-occlusions of the object are prominent, and current methods employing joint shape and appearance models are unable to adapt to  ...  In this work, we model self-occlusions and dis-occlusions in tracking by joint shape/appearance matching.  ... 
arXiv:1208.4391v2 fatcat:5wuns3wiifenrmmhlae4zsw34y

A background layer model for object tracking through occlusion

Yue Zhou, Hai Tao
2003 Proceedings Ninth IEEE International Conference on Computer Vision  
Together with the foreground ordering, the complete information necessary for reliably tracking objects through occlusion is included in our representation.  ...  The background occluding layers lie in front of, behind, and in between foreground layers.  ...  To handle object occlusion in motion analysis and tracking, an explicit generative occlusion boundary model was proposed in [3] .  ... 
doi:10.1109/iccv.2003.1238469 dblp:conf/iccv/ZhouT03 fatcat:xrhefvufj5e7lc7f4m6e2gbgb4

Accurate 3D Tracking of Rigid Objects with Occlusion Using Active Appearance Models

Pradit Mittrapiyanuruk, Guilherme N. DeSouza, Avinash C. Kak
2005 2005 Seventh IEEE Workshops on Applications of Computer Vision (WACV/MOTION'05) - Volume 1  
Unlike most of the other appearance-based methods in the literature, such as [3, 5, 6, 9, 11] , our method allows for both partial and self occlusion of the objects.  ...  In this paper we present a new method for tracking rigid objects using a modified version of the Active Appearance Model.  ...  Review of Active Appearance Models In AAM, the appearance model of an object is defined by its shape and texture.  ... 
doi:10.1109/acvmot.2005.15 dblp:conf/wacv/MittrapiyanurukDK05 fatcat:ao7tgpbhrvdaxp5lpy3rkejjce

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 literature is divided into two broad categories: the macroscopic and the microscopic modelling approach.  ...  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  ...  According to the survey in [82] , occlusion can be classified into three categories: self-occlusion, which occurs while tracking articulated objects; inter-object occlusion (or dynamic occlu- [85] ,  ... 
doi:10.1007/978-3-642-41512-8_2 fatcat:m45yawffhzgypcn6nsjicrvhkm

Human tracking using 3D surface colour distributions

Timothy J. Roberts, Stephen J. McKenna, Ian W. Ricketts
2006 Image and Vision Computing  
In this formulation, the appearance, modelled using feature distributions defined over regions on the surface of an articulated 3D model, is estimated and propagated as part of the state.  ...  A likelihood formulation for detailed human tracking in real world scenes is presented.  ...  self-occlusion and enables changes in body part appearance due to rotation in depth to be handled explicitly.  ... 
doi:10.1016/j.imavis.2006.04.011 fatcat:fnfr7a4tjvby7ea43hnulizbgm

Multi-view Occlusion Reasoning for Probabilistic Silhouette-Based Dynamic Scene Reconstruction

Li Guan, Jean-Sébastien Franco, Marc Pollefeys
2010 International Journal of Computer Vision  
In this paper, we present an algorithm to probabilistically estimate object shapes in a 3D dynamic scene using their silhouette information derived from multiple geometrically calibrated video camcorders  ...  Our main contribution is to explicitly model the visual occlusion process and show: (1) static objects (such as trees or lamp posts), as parts of the pre-learned background model, can be automatically  ...  We also gratefully acknowledge the support of David and Lucille Packard Foundation Fellowship and NSF Career award IIS-0237533.  ... 
doi:10.1007/s11263-010-0341-y fatcat:jfz5segwiverne27ao7bzhwqo4

Tracking with Dynamic Hidden-State Shape Models [chapter]

Zheng Wu, Margrit Betke, Jingbin Wang, Vassilis Athitsos, Stan Sclaroff
2008 Lecture Notes in Computer Science  
In this paper, we introduce Dynamic Hidden-State Shape Models (DHSSMs) to track and recognize the non-rigid motion of such objects, for example, human hands.  ...  The method is robust to various illumination conditions, the presence of clutter, occlusions, and some types of self-occlusions.  ...  This research was supported in part by NSF grants IIS-0705749 and IIS-0713229.  ... 
doi:10.1007/978-3-540-88682-2_49 fatcat:7zmapd5c3bdw3iiy3luzemftzi

DRIVER HEAD MOVEMENT ESTIMATOR ON ARM BIG.LITTLE PROCESSOR

Goutham A.H .
2015 International Journal of Research in Engineering and Technology  
A distributed camera framework and the use of Constrained Local Model algorithm for head pose tracking is presented. The proposed approach monitors the driver head over wide range of movements.  ...  In this paper a vision based algorithm is presented to estimate the driver head pose.  ...  The 3-D model of a head illustrates the observed facial feature from a fixed camera perspective and the self-occlusion that was induced by large head movements.  ... 
doi:10.15623/ijret.2015.0426015 fatcat:2v726u43krb47amupvy52qf6ae

Active appearance models with occlusion

Ralph Gross, Iain Matthews, Simon Baker
2006 Image and Vision Computing  
Active Appearance Models (AAMs) are generative parametric models that have been successfully used in the past to track faces in video.  ...  In this paper we propose algorithms to construct AAMs from occluded training images and to track faces efficiently in videos containing occlusion.  ...  An earlier version of this paper appeared in [12] .  ... 
doi:10.1016/j.imavis.2005.08.001 fatcat:g22eomiwjjfmff3ocunqdjsd2m

Robust Object Tracking in Crowd Dynamic Scenes Using Explicit Stereo Depth [chapter]

Chi Li, Le Lu, Gregory D. Hager, Jianyu Tang, Hanzi Wang
2013 Lecture Notes in Computer Science  
In this paper, we exploit robust depth information with simple color-shape appearance model on single object tracking in crowd dynamic scenes.  ...  Our main contribution is a novel tracking strategy to employ explicit stereo depth to track and segment object in crowd dynamic scenes with occlusion handling.  ...  The sequences whose (E/S < 10%)/F > 70% is highlighted in red. most challenging factors in visual tracking: dynamic background, complete occlusion, fast movement, large variation in pose and scale, shape  ... 
doi:10.1007/978-3-642-37431-9_6 fatcat:vifpx36etbg2bo3qekn72feusq

Track-based and object-based occlusion for people tracking refinement in indoor surveillance

R. Cucchiara, C. Grana, G. Tardini
2004 Proceedings of the ACM 2nd international workshop on Video surveillance & sensor networks - VSSN '04  
In this work we provide a novel technique for object tracking, based on probabilistic masks and appearance models.  ...  People tracking deals with problems of shape changes, selfocclusions and track occlusions due to other interfering tracks and fixed objects that hide parts of the people shape.  ...  In this framework, people tracking must cope with problems of frequent shape changes, self occlusions, and other types of occlusions caused by moving objects (track-based occlusions), or fixed objects  ... 
doi:10.1145/1026799.1026814 fatcat:sqskuygvaran5kvreycmy2peri

Tracking Dynamic Near-Regular Texture Under Occlusion and Rapid Movements [chapter]

Wen-Chieh Lin, Yanxi Liu
2006 Lecture Notes in Computer Science  
and an image observation model that handles local geometry and appearance variations.  ...  We present a dynamic near-regular texture (NRT) tracking algorithm nested in a lattice-based Markov-Random-Field (MRF) model of a 3D spatiotemporal space.  ...  Collins for providing the crowd motion video and proofreading this paper; Jing Xiao, Jiayong Zhang, Chieh-Chih Wang and Sanjiv Kumar for their suggestions on our tracking algorithm; Jasmine Collins for  ... 
doi:10.1007/11744047_4 fatcat:5o6kfssdzvernd7x7gern3q6h4
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