Embedded Imagers: Detecting, Localizing, and Recognizing Objects and Events in Natural Habitats
暂无分享,去创建一个
Deborah Estrin | Stefano Soatto | Teresa Ko | Mark H. Hansen | Josh Hyman | Eric A. Graham | Mark H. Hansen | Stefano Soatto | D. Estrin | E. Graham | Josh Hyman | Teresa Ko
[1] Roberto Brunelli,et al. Advanced , 1980 .
[2] Gang Wang,et al. Using Dependent Regions for Object Categorization in a Generative Framework , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).
[3] Pietro Perona,et al. Unsupervised Learning of Models for Recognition , 2000, ECCV.
[4] Alex Pentland,et al. A Bayesian Computer Vision System for Modeling Human Interactions , 1999, IEEE Trans. Pattern Anal. Mach. Intell..
[5] Alex Pentland,et al. Pfinder: Real-Time Tracking of the Human Body , 1997, IEEE Trans. Pattern Anal. Mach. Intell..
[6] Nikos Paragios,et al. Background modeling and subtraction of dynamic scenes , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.
[7] C. Carey,et al. The impacts of climate change on the annual cycles of birds , 2009, Philosophical Transactions of the Royal Society B: Biological Sciences.
[8] Chin-Seng Chua,et al. Motion detection with nonstationary background , 2003, Machine Vision and Applications.
[9] Trevor Darrell,et al. The pyramid match kernel: discriminative classification with sets of image features , 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.
[10] Larry S. Davis,et al. Non-parametric Model for Background Subtraction , 2000, ECCV.
[11] Ignasi Bartomeus,et al. Contrasting effects of invasive plants in plant–pollinator networks , 2008, Oecologia.
[12] Mubarak Shah,et al. Establishing motion correspondence , 1991, Proceedings. 1991 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[13] Tony Lindeberg,et al. Scale selection for differential operators , 1994 .
[14] V. Vapnik. Estimation of Dependences Based on Empirical Data , 2006 .
[15] Larry S. Davis,et al. W4: Real-Time Surveillance of People and Their Activities , 2000, IEEE Trans. Pattern Anal. Mach. Intell..
[16] VARUN CHANDOLA,et al. Anomaly detection: A survey , 2009, CSUR.
[17] 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).
[18] Roberto Brunelli,et al. Template Matching Techniques in Computer Vision: Theory and Practice , 2009 .
[19] Matthijs C. Dorst. Distinctive Image Features from Scale-Invariant Keypoints , 2011 .
[20] Leo Breiman,et al. Classification and Regression Trees , 1984 .
[21] Vladimir N. Vapnik,et al. The Nature of Statistical Learning Theory , 2000, Statistics for Engineering and Information Science.
[22] Fei-Fei Li,et al. OPTIMOL: Automatic Online Picture Collection via Incremental Model Learning , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.
[23] Tomaso A. Poggio,et al. A general framework for object detection , 1998, Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271).
[24] Keinosuke Fukunaga,et al. Introduction to statistical pattern recognition (2nd ed.) , 1990 .
[26] J. Willis,et al. Is floral diversification associated with pollinator divergence? Flower shape, flower colour and pollinator preference in Chilean Mimulus. , 2008, Annals of botany.
[27] Ramesh C. Jain,et al. On the Analysis of Accumulative Difference Pictures from Image Sequences of Real World Scenes , 1979, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[28] Gabriela Csurka,et al. Visual categorization with bags of keypoints , 2002, eccv 2004.
[29] Pietro Perona,et al. Object class recognition by unsupervised scale-invariant learning , 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..
[30] R. Stephenson. A and V , 1962, The British journal of ophthalmology.
[31] Alex Pentland,et al. Pfinder: real-time tracking of the human body , 1996, Proceedings of the Second International Conference on Automatic Face and Gesture Recognition.
[32] Pietro Perona,et al. Learning Generative Visual Models from Few Training Examples: An Incremental Bayesian Approach Tested on 101 Object Categories , 2004, 2004 Conference on Computer Vision and Pattern Recognition Workshop.
[33] Yaser Sheikh,et al. Bayesian modeling of dynamic scenes for object detection , 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[34] Jitendra Malik,et al. SVM-KNN: Discriminative Nearest Neighbor Classification for Visual Category Recognition , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).
[35] Keinosuke Fukunaga,et al. Introduction to Statistical Pattern Recognition , 1972 .
[36] David G. Lowe,et al. Multiclass Object Recognition with Sparse, Localized Features , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).
[37] Nikos Paragios,et al. Motion-based background subtraction using adaptive kernel density estimation , 2004, CVPR 2004.
[38] Matteo Matteucci,et al. A revaluation of frame difference in fast and robust motion detection , 2006, VSSN '06.
[39] Daniel Cremers,et al. Dynamic texture segmentation , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.