Visual Object Detection and Tracking using Analytical Learning Approach of Validity Level

[1]  Yang Lu,et al.  Online Object Tracking, Learning and Parsing with And-Or Graphs , 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[2]  Ming-Hsuan Yang,et al.  Hierarchical Convolutional Features for Visual Tracking , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).

[3]  Ming-Hsuan Yang,et al.  Incremental Learning for Robust Visual Tracking , 2008, International Journal of Computer Vision.

[4]  Lei Yang,et al.  A survey on visual tracking via convolutional neural networks , 2016, 2016 2nd IEEE International Conference on Computer and Communications (ICCC).

[5]  Rina Panigrahy,et al.  An Improved Algorithm Finding Nearest Neighbor Using Kd-trees , 2008, LATIN.

[6]  Michael A. Casey,et al.  Locality-Sensitive Hashing for Finding Nearest Neighbors , 2008 .

[7]  Huchuan Lu,et al.  Robust Object Tracking via Sparse Collaborative Appearance Model , 2014, IEEE Transactions on Image Processing.

[8]  Horst Bischof,et al.  Real-Time Tracking via On-line Boosting , 2006, BMVC.

[9]  Ioannis Pitas,et al.  A Tracking Framework for Accurate Face Localization , 2006, IFIP AI.

[10]  Zdenek Kalal,et al.  Tracking-Learning-Detection , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[11]  Wei Mei,et al.  A Review of Visual Tracking with Deep Learning , 2016 .

[12]  Ling Shao,et al.  Recent advances and trends in visual tracking: A review , 2011, Neurocomputing.

[13]  G LoweDavid,et al.  Distinctive Image Features from Scale-Invariant Keypoints , 2004 .

[14]  Tieniu Tan,et al.  A real-time object detecting and tracking system for outdoor night surveillance , 2008, Pattern Recognit..

[15]  Reinhard Klein,et al.  Efficient RANSAC for Point‐Cloud Shape Detection , 2007, Comput. Graph. Forum.

[16]  Ehud Rivlin,et al.  Mean Shift tracking with multiple reference color histograms , 2010, Comput. Vis. Image Underst..

[17]  Alexandre R. J. François,et al.  CAMSHIFT Tracker Design Experiments With Intel OpenCV and SAI , 2004 .

[18]  Cor J. Veenman,et al.  Resolving Motion Correspondence for Densely Moving Points , 2001, IEEE Trans. Pattern Anal. Mach. Intell..

[19]  Kehua Miao,et al.  An improved algorithm for locality-sensitive hashing , 2015, 2015 10th International Conference on Computer Science & Education (ICCSE).

[20]  Martin Kampel,et al.  Interest Point Based Tracking , 2010, 2010 20th International Conference on Pattern Recognition.

[21]  Li Li,et al.  Image Matching Algorithm based on Feature-point and DAISY Descriptor , 2014, J. Multim..

[22]  Seung-Hwan Bae,et al.  Confidence-Based Data Association and Discriminative Deep Appearance Learning for Robust Online Multi-Object Tracking , 2018, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[23]  Junseok Kwon,et al.  Visual tracking decomposition , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[24]  Zhiyu Zhou,et al.  Object Tracking Based on Camshift with Multi-feature Fusion , 2014, J. Softw..

[25]  Carlo Tomasi,et al.  Good features to track , 1994, 1994 Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.

[26]  Xuejie Zhang,et al.  Tracking objects through occlusions using improved Kalman filter , 2010, 2010 2nd International Conference on Advanced Computer Control.

[27]  Dorin Comaniciu,et al.  Kernel-Based Object Tracking , 2003, IEEE Trans. Pattern Anal. Mach. Intell..

[28]  Tobias Bjerregaard,et al.  A survey of research and practices of Network-on-chip , 2006, CSUR.

[29]  Alwyn Roshan Pais,et al.  Model Based Tracking , 2007, ICIC.

[30]  Alfredo Petrosino,et al.  The Matrioska Tracking Algorithm on LTDT2014 Dataset , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition Workshops.

[31]  Luc Van Gool,et al.  Speeded-Up Robust Features (SURF) , 2008, Comput. Vis. Image Underst..

[32]  Gianpiero Costantino,et al.  Enhancing Video Surveillance with Usage Control and Privacy-Preserving Solutions , 2016, J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl..

[33]  Tianmiao Wang,et al.  BEST: A real-time tracking method for scout robot , 2009, 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[34]  Oliver Bimber,et al.  Fast and robust CAMShift tracking , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops.

[35]  Ming-Hsuan Yang,et al.  Robust Object Tracking with Online Multiple Instance Learning , 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[36]  M. Slaney,et al.  Locality-Sensitive Hashing for Finding Nearest Neighbors [Lecture Notes] , 2008, IEEE Signal Processing Magazine.

[37]  Otthein Herzog,et al.  Binarising SIFT-Descriptors to Reduce the Curse of Dimensionality in Histogram-Based Object Recognition , 2009, FGIT-SIP.

[38]  Ashish Ghosh,et al.  Efficient silhouette-based contour tracking using local information , 2016, Soft Comput..

[39]  David Zhang,et al.  Learning a real-time generic tracker using convolutional neural networks , 2017, 2017 IEEE International Conference on Multimedia and Expo (ICME).

[40]  Paul A. Viola,et al.  Rapid object detection using a boosted cascade of simple features , 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.

[41]  Zhongfei Zhang,et al.  A survey of appearance models in visual object tracking , 2013, ACM Trans. Intell. Syst. Technol..

[42]  C. Tharini,et al.  Real-Time Implementation of Locality Sensitive Hashing Using NI WSN and LabVIEW for Outlier Detection in Wireless Sensor Networks , 2016, J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl..

[43]  L. Gool,et al.  Probabilistic object tracking using multiple features , 2004, ICPR 2004.

[44]  Minjie Li,et al.  Image matching based on SIFT features and kd-tree , 2010, 2010 2nd International Conference on Computer Engineering and Technology.

[45]  Shai Avidan,et al.  Locally Orderless Tracking , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.

[46]  Suraj Pramod Patil Techniques and Methods for Detection and Tracking of Moving Object in a Video , 2016 .

[47]  Huchuan Lu,et al.  Visual tracking via adaptive structural local sparse appearance model , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.

[48]  Kenji Nishida,et al.  Visual Tracking Algorithm Using Pixel-Pair Feature , 2010, 2010 20th International Conference on Pattern Recognition.