CFP last date
20 January 2025
Call for Paper
February Edition
IJCA solicits high quality original research papers for the upcoming February edition of the journal. The last date of research paper submission is 20 January 2025

Submit your paper
Know more
The week's pick
Responsive image
SFLA-Based Line Balancing and Task Optimization in Master-Slave Controlled Hanger Transportation Systems for Garment Production

Duc Hoang Nguyen
Random Articles
Reseach Article

Occlusion Detection and Handling: A Review

by Himanshu Chandel, Sonia Vatta
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 120 - Number 10
Year of Publication: 2015
Authors: Himanshu Chandel, Sonia Vatta
10.5120/21264-3857

Himanshu Chandel, Sonia Vatta . Occlusion Detection and Handling: A Review. International Journal of Computer Applications. 120, 10 ( June 2015), 33-38. DOI=10.5120/21264-3857

@article{ 10.5120/21264-3857,
author = { Himanshu Chandel, Sonia Vatta },
title = { Occlusion Detection and Handling: A Review },
journal = { International Journal of Computer Applications },
issue_date = { June 2015 },
volume = { 120 },
number = { 10 },
month = { June },
year = { 2015 },
issn = { 0975-8887 },
pages = { 33-38 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume120/number10/21264-3857/ },
doi = { 10.5120/21264-3857 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:06:01.396426+05:30
%A Himanshu Chandel
%A Sonia Vatta
%T Occlusion Detection and Handling: A Review
%J International Journal of Computer Applications
%@ 0975-8887
%V 120
%N 10
%P 33-38
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Object tracking and detection is a classical research area in the field of computer vision from decades. Numerous kinds of applications are dependent on the area of object detection, such as advance driving assistance system, traffic surveillance, scene understanding, autonomous navigation etc. Many challenges still exist while detecting an object such as illusion, low visibility, cast shadows and most importantly occlusions of object. Occlusions occur under two categories, firstly its, self?occlusion which means that, from a certain viewpoint, one part of an object is occluded by another part. Secondly, its inter-object occlusion which means when two objects being tracked occlude each other. We will review various occlusion handling methods that involved single and multiple cameras according to their application. In short, the objective of this paper is to deliberate in detail the problem of occlusion in object tracking and provide a concise review for the problem of occlusion handling under different categories and identify new trends.

References
  1. Hossein Tehrani Niknejad, Taiki Kawano,Yuki Oishi, Seiichi Mita, "Occlusion Handling using Discriminative Model of Trained Part Templates and Conditional Random Field," 2013 IEEE Intelligent Vehicles Symposium (IV) June 23-26, 2013, Gold Coast, Australia
  2. Andry Maykol Pinto, Paulo G. Costa and A. Paulo Moreira, "An Architecture for Visual Motion Perception of a Surveillance-based Autonomous Robot," 2014IEEEInternational Conference on Autonomous Robot Systems and Competitions(ICARSC) May14-15,Espinho,Portugal
  3. Andrej Karpathy Li Fei-Fei, "Andrej Karpathy Li Fei-Fei," 2014
  4. Whei Zhang,Q. M Jonathan Wu,Xiaokang Yang, "Multilevel framework to detect and handle Occlusion," IEEE Transaction on Intelligent Transport Systems,VOL. 9,NO. 1,2008
  5. Jiyan Pan,Bo Hu, "Robust Occlusion handling in object tracking," IOP Sciences,Computer Vision and Pattern Recognition,2007
  6. Min Hu, Weiming Hu, Tieniu Tan, "Tracking People through Occlusion," International Conference on Pattern Recognition,2004
  7. M. Zeeshan Zia, Michael Stark and Konrad Schindler, "Are Cars Just 3D Boxes? – Jointly Estimating the 3D Shape of Multiple Objects," IEEE Conference on Computer Vision and Pattern Recognition,2014
  8. Marvin Struwe,Stephan Haslerand Ute Bauer-Wersing, "Using the Analytic Feature Framework for the Detection of Occluded Objects," Artificial Neural Networks and Machine Learning – ICANN 2013
  9. Marvin Struwe1 Stephan Hasler and Ute Bauer-Wersing, "A Two-Stage Classifier Architecture for Detecting Objects under Real-WorldOcclusion Patterns," Artificial Neural Networks and Machine Learning – ICANN 2014
  10. Xiaoyu Wang,Tony X. Han and Shuicheng Yan, "An HOG-LBP Human Detector with Partial Occlusion Handling," IEEE 12th International Conference on Computer Vision (ICCV),2009
  11. M. Zeeshan Zia, Michael Stark and Konrad Schindler, "Explicit Occlusion Modeling for 3D Object Class Representations," IEEE Conference on Computer Vision and Pattern Recognition,2013
  12. A. Ess, K. Schindler, B. Leibe, L. van Gool, "Improved Multi-Person Tracking with Active Occlusion Handling," Proceedings of the IEEE ICRA Workshop on People Detection and Tracking,2009
  13. Jian Sun, Yin Li, Sing Bing Kang, Heung-Yeung Shum, "Symmetric Stereo Matching for Occlusion Handling," Computer Vision and Pattern Recognition, 2005.
  14. Dominik Maximilián Ramík,Christophe Sabourin,Ramon Moreno,Kurosh Madani, "A machine learning based intelligent vision system for autonomous object detection and recognition," Applied Intelligence, Volume 40, Issue 2, pp 358-375, March 2014
  15. Sing Bing Kang, Szeliski R. , Jinxiang Chai, "Handling occlusions in dense multi-view stereo," Computer Vision and Pattern Recognition, 2001
  16. Rashid Mehmood,Rab Nawaz,Naveed Iqbal Rao, "Occlusion Handling in Meanshift Tracking using Adaptive Window Normalized Cross Correlation," 11th International Bhurban Conference on Applied Sciences and Technology (IBCAST), 2014
  17. Yaowen Guan, Xiaoou Chen, Deshun Yang, Yuqian Wu, "Multiperson tracking by detection with local particle filtering and global occlusion handling," IEEE International Conference on Multimedia and Expo (ICME), 2014
  18. Tao Yang, Stan Z. Li, Quan Pan, Jing Li, "Real-time Multiple Objects Tracking with Occlusion Handling in Dynamic Scenes," IEEE Computer Society Conference on Computer Vision and Pattern Recognition,2005
  19. Dongbo Min and Kwanghoon Sohn, "Cost Aggregation and Occlusion Handling With WLS in Stereo Matching," IEEE Transactions on image processing, VOL. 17, NO. 8,2008
  20. Bing-Fei Wu et al. , "A Relative-Discriminative-Histogram-of-Oriented-Gradients-Based Particle Filter Approach to Vehicle Occlusion Handling and Tracking," IEEE Transactions on Industrial Electronics, VOL. 61, NO. 8,2014
  21. Markus Enzweiler,Angela Eigenstetter,Bernt Schiele,Dariu M. Gavrila, "Multi-Cue Pedestrian Classification With Partial Occlusion Handling," IEEE Conference on Computer Vision and Pattern Recognition, 2010
  22. Woo-Seok Jang , Yo-Sung Ho, "Efficient depth map generation with occlusion handling for various camera arrays," Signal, Image and Video Processing, Volume 8, Issue 2, pp 287-297,2014
  23. Woo-Seok Jang and Yo-Sung Ho, "Efficient Disparity Map Estimation Using Occlusion Handling for Various 3D Multimedia Applications," IEEE Transactions on Consumer Electronics, 2011
  24. Geoffrey Egnal and Richard P. Wildes, "Detecting Binocular Half-Occlusions:Empirical Comparisons of Five Approaches,"IEEE Transactions on pattern analysis and machine intelligence, VOL. 24, NO. 8, 2002
  25. Christian Wojek, Stefan Walk, Stefan Roth and Bernt Schiele, "Monocular 3D Scene Understanding with Explicit Occlusion Reasoning," IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2011
  26. Hossein Tehrani Niknejad, Taiki Kawano,Yuki Oishi, Seiichi Mita, "Occlusion Handling using Discriminative Model of Trained Part Templates and Conditional Random Field," IEEE Intelligent Vehicles Symposium ,2013
  27. Brian Fehrman and Jeff McGough,"Handling Occlusion with an Inexpensive Array ofCameras,"IEEE Southwest Symposium on Image Analysis and Interpretation (SSIAI),2014
  28. P. Wunsch and G. Hirzinger, "Real-Time Visual Tracking of 3-D Objects with Dynamic Handling of Occlusion," Proceedings of the IEEEInternational Conference on Robotics and Automation,1997
  29. Fabienne LathuiIiere and Jean-Yves Herve, "Visual Tracking of Hand Posture with Occlusion Handling,"15th International Conference on Pattern Recognition,2000
  30. Ting - Hsun Chang,Shaogang Gong and Eng Jon Ong, "Tracking multiple people under occlusion using multiple cameras," BMVC,2000
  31. Ro´merRosales and StanSclaroff, "Improved Tracking of Multiple Humans with Trajectory Prediction and Occlusion Modeling," IEEE Conf. on Computer Vision and Pattern Recognition,1998
  32. Andrew Senior et al. , "Appearance models for occlusion handling," Image and Vision Computing ,"VOL. 24 ,2006
  33. Yasuyuki SUGAYA and Yuichi OHTA, "Stereo by the integration of two algorithms with/without occlusion handling,"15th International Conference on Pattern Recognition,2000
  34. Chenyuan Zhang, Jiu Xu, Axel Beaugendre and Satoshi Goto, "A KLT-Based Approach for Occlusion Handling in Human Tracking,"Picture Coding Symposium,2012
  35. Davi Geiger,Bruce,Ladendorf,Alan Yuille, "Occlusions and Binocular Stereo,"International Journal of Computer Vision,1995
  36. James J. Little and Walter E. Gillet, "Direct Evidence for Occlusion in Stereo and Motion," Computer Vision — ECCV, 1990
  37. Juyang Weng,Narendra Ahuja,Thomas S. Huang, "Two view matching," IEEE,1988
  38. Clement Chun Cheong Pang, William Wai Leung Lam, and Nelson Hon Ching Yung,"A Novel Method for Resolving Vehicle Occlusion in a Monocular Traffic-Image Sequence,"IEEE Transactions on intelligent transportation systems, VOL. 5, NO. 3,2004
  39. Ming Qing, Van-Dung Hoang and Kang-Hyun Jo Yung,"Localization and Tracking of Same Color Vehicle under Occlusion Proble," Mechatronics-REM, 2012
  40. Xiaowu Chen, Qing li, Dongyue Zhao, Qinping Zhao,"Occlusion cues for image scene layering,"Computer Vision and Image Understanding Volume 117, Issue 1, Pages 42–55, 2013
Index Terms

Computer Science
Information Sciences

Keywords

Occlusion tracking scene vision unmanned car.

Powered by PhDFocusTM