Evaluation of video based pedestrian and vehicle detection algorithms

[1]  Rómer Rosales,et al.  3D trajectory recovery for tracking multiple objects and trajectory guided recognition of actions , 1999, Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149).

[2]  Michael Isard,et al.  Contour Tracking by Stochastic Propagation of Conditional Density , 1996, ECCV.

[3]  Larry S. Davis,et al.  Efficient mean-shift tracking via a new similarity measure , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

[4]  M. Sigari,et al.  Fuzzy Running Average and Fuzzy Background Subtraction: Concepts and Application , 2008 .

[5]  W. Eric L. Grimson,et al.  Adaptive background mixture models for real-time tracking , 1999, Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149).

[6]  Gary R. Bradski,et al.  Real time face and object tracking as a component of a perceptual user interface , 1998, Proceedings Fourth IEEE Workshop on Applications of Computer Vision. WACV'98 (Cat. No.98EX201).

[7]  Kentaro Toyama,et al.  Wallflower: principles and practice of background maintenance , 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision.

[8]  Jitendra Malik,et al.  Towards robust automatic traffic scene analysis in real-time , 1994, Proceedings of 12th International Conference on Pattern Recognition.

[9]  Zhiming Cui,et al.  Moving Vehicle Tracking Based on Double Difference and CAMShift , 2009 .

[10]  O. Silven,et al.  A real-time system for monitoring of cyclists and pedestrians , 1999, Proceedings Second IEEE Workshop on Visual Surveillance (VS'99) (Cat. No.98-89223).

[11]  J.-Y. Bouguet,et al.  Pyramidal implementation of the lucas kanade feature tracker , 1999 .

[12]  I.E. Abdou,et al.  Quantitative design and evaluation of enhancement/thresholding edge detectors , 1979, Proceedings of the IEEE.

[13]  Dariu Gavrila,et al.  Multi-feature hierarchical template matching using distance transforms , 1998, Proceedings. Fourteenth International Conference on Pattern Recognition (Cat. No.98EX170).

[14]  Stuart J. Russell,et al.  Image Segmentation in Video Sequences: A Probabilistic Approach , 1997, UAI.

[15]  B. Schiele,et al.  Combined Object Categorization and Segmentation With an Implicit Shape Model , 2004 .

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

[17]  Georgios Tziritas,et al.  Adaptive detection and localization of moving objects in image sequences , 1999, Signal Process. Image Commun..

[18]  Christos Faloutsos,et al.  Efficient and effective Querying by Image Content , 1994, Journal of Intelligent Information Systems.

[19]  Daniel P. Huttenlocher,et al.  Spatial priors for part-based recognition using statistical models , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

[20]  Shrinivas J. Pundlik,et al.  Vehicle segmentation and tracking from a low-angle off-axis camera , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

[21]  Larry S. Davis,et al.  Non-parametric Model for Background Subtraction , 2000, ECCV.

[22]  Kelson Rômulo Teixeira Aires,et al.  Optical flow using color information: preliminary results , 2008, SAC '08.

[23]  David J. Fleet,et al.  Robust Online Appearance Models for Visual Tracking , 2003, IEEE Trans. Pattern Anal. Mach. Intell..

[24]  Francisco Javier Díaz Pernas,et al.  Real-Time Nose Detection and Tracking Based on AdaBoost and Optical Flow Algorithms , 2009, IDEAL.

[25]  Azriel Rosenfeld,et al.  Detection and location of people in video images using adaptive fusion of color and edge information , 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.

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

[27]  Jorge S. Marques,et al.  Performance evaluation of object detection algorithms for video surveillance , 2006, IEEE Transactions on Multimedia.

[28]  Ishwar K. Sethi,et al.  Finding Trajectories of Feature Points in a Monocular Image Sequence , 1987, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[29]  Driss Aboutajdine,et al.  An adapted Lucas-Kanade's method for optical flow estimation in catadioptric images , 2008 .

[30]  Tieniu Tan,et al.  A survey on visual surveillance of object motion and behaviors , 2004, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

[31]  Takeo Kanade,et al.  An Iterative Image Registration Technique with an Application to Stereo Vision , 1981, IJCAI.

[32]  Chongzhao Han,et al.  A Background Reconstruction Algorithm based on Pixel Intensity Classification in Remote Video Surveillance System 1 , 2001 .

[33]  Yizong Cheng,et al.  Mean Shift, Mode Seeking, and Clustering , 1995, IEEE Trans. Pattern Anal. Mach. Intell..

[34]  Paul A. Viola,et al.  Detecting Pedestrians Using Patterns of Motion and Appearance , 2005, International Journal of Computer Vision.

[35]  R. Nevatia,et al.  Simultaneous Object Detection and Segmentation by Boosting Local Shape Feature based Classifier , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

[36]  Mubarak Shah,et al.  Establishing motion correspondence , 1991, Proceedings. 1991 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[37]  Rama Chellappa,et al.  3-D Motion Estimation Using a Sequence of Noisy Stereo Images: Models, Estimation, and Uniqueness Results , 1990, IEEE Trans. Pattern Anal. Mach. Intell..

[38]  Carlos Vázquez,et al.  Feature-based detection and correction of occlusions and split of video objects , 2009, Signal Image Video Process..

[39]  Massimo Piccardi,et al.  Background subtraction techniques: a review , 2004, 2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583).

[40]  Qi Tian,et al.  Foreground object detection from videos containing complex background , 2003, MULTIMEDIA '03.

[41]  Dolors Ayala,et al.  Erosion and Dilation on 2-D and 3-D Digital Images: A New Size-Independent Approach , 2001, VMV.

[42]  Steven S. Beauchemin,et al.  The computation of optical flow , 1995, CSUR.

[43]  Xin Li,et al.  Contour-based object tracking with occlusion handling in video acquired using mobile cameras , 2004, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[44]  Rita Cucchiara,et al.  Detecting Moving Objects, Ghosts, and Shadows in Video Streams , 2003, IEEE Trans. Pattern Anal. Mach. Intell..

[45]  Bill Triggs,et al.  Histograms of oriented gradients for human detection , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

[46]  Larry D. Hostetler,et al.  The estimation of the gradient of a density function, with applications in pattern recognition , 1975, IEEE Trans. Inf. Theory.

[47]  Tomaso A. Poggio,et al.  A general framework for object detection , 1998, Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271).

[48]  Abdolhossein Sarrafzadeh,et al.  Face Tracking Using Mean-Shift Algorithm: A Fuzzy Approach for Boundary Detection , 2005, ACII.

[49]  Paul A. Viola,et al.  Detecting Pedestrians Using Patterns of Motion and Appearance , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.

[50]  Dorin Comaniciu,et al.  Mean Shift: A Robust Approach Toward Feature Space Analysis , 2002, IEEE Trans. Pattern Anal. Mach. Intell..

[51]  Dorin Comaniciu,et al.  Real-time tracking of non-rigid objects using mean shift , 2000, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662).

[52]  Berthold K. P. Horn,et al.  Determining Optical Flow , 1981, Other Conferences.

[53]  Zhenjiang Miao,et al.  Background Subtraction Using Running Gaussian Average and Frame Difference , 2007, ICEC.

[54]  Pietro Perona,et al.  Multiple Component Learning for Object Detection , 2008, ECCV.

[55]  Alex Pentland,et al.  Pfinder: Real-Time Tracking of the Human Body , 1997, IEEE Trans. Pattern Anal. Mach. Intell..