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Ignasi Rius, Dani Rowe, Jordi Gonzalez, & Xavier Roca. (2005). A 3D Dynamic Model of Human Actions for Probabilistic Image Tracking. In Pattern Recognition and Image Analysis (IbPRIA 2005), LNCS 3522: 529–536.
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Dani Rowe, Ignasi Rius, Jordi Gonzalez, Xavier Roca, & Juan J. Villanueva. (2005). Probabilistic Image-Based Tracking: Improving Particle Filtering. In Pattern Recognition and Image Analysis (IbPRIA 2005), LNCS 3522: 85–92.
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David Masip, & Jordi Vitria. (2005). Feature Extraction for Nearest Neighbor Classification. Application to Gender Recognition. International Journal of Intelligent Systems, 20(5): 561–576 (IF: 0.657).
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Georg Langs, Petia Radeva, David Rotger, & Francesc Carreras. (2004). Building and Registering Parameterized 3D Models of Vessel Trees for Visualization during Intervention.
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Agata Lapedriza, David Masip, & Jordi Vitria. (2005). The contribution of external features to face recognition. In Pattern Recognition and Image Analysis (IbPRIA 2005), LNCS 3523: 537–544.
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Carme Julia, Angel Sappa, Felipe Lumbreras, Joan Serrat, & Antonio Lopez. (2006). Factorization with Missing and Noisy Data. In 6th International Conference on Computational Science (Vol. LNCS 3991, 555–562).
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M. Gonzalez-Audicana, Xavier Otazu, O. Fors, & A. Seco. (2005). Comparison between Mallats and the trous discrete wavelet transform based algorithms for the fusion of multispectral and panchromatic images. International Journal of Remote Sensing, 26(3):595–614 (IF: 0.925).
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Sergio Escalera, & Petia Radeva. (2004). Fast greyscale road sign model matching and recognition.
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Fadi Dornaika, & Angel Sappa. (2006). Improving Appearance-Based 3D Face Tracking Using Sparse Stereo Data.
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Fadi Dornaika, & Angel Sappa. (2005). Appearance-based 3D Face Tracker: An Evaluation Study.
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Fadi Dornaika, & Angel Sappa. (2005). SFM for Planar Scenes: a Direct and Robust Approach.
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Juan Andrade, T. Alejandra Vidal, & A. Sanfeliu. (2005). Multirobot C-SLAM: Simultaneous localization, control, and mapping.
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Jaume Amores, N. Sebe, Petia Radeva, Theo Gevers, & A. Smeulders. (2004). Boosting Contextual Information in Content-based Image Retrieval.
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David Geronimo, Angel Sappa, Antonio Lopez, & Daniel Ponsa. (2007). Adaptive Image Sampling and Windows Classification for On-board Pedestrian Detection. In Proceedings of the 5th International Conference on Computer Vision Systems.
Abstract: On–board pedestrian detection is in the frontier of the state–of–the–art since it implies processing outdoor scenarios from a mobile platform and searching for aspect–changing objects in cluttered urban environments. Most promising approaches include the development of classifiers based on feature selection and machine learning. However, they use a large number of features which compromises real–time. Thus, methods for running the classifiers in only a few image windows must be provided. In this paper we contribute in both aspects, proposing a camera
pose estimation method for adaptive sparse image sampling, as well as a classifier for pedestrian detection based on Haar wavelets and edge orientation histograms as features and AdaBoost as learning machine. Both proposals are compared with relevant approaches in the literature, showing comparable results but reducing processing time by four for the sampling tasks and by ten for the classification one.
Keywords: Pedestrian Detection
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David Geronimo, Antonio Lopez, Daniel Ponsa, & Angel Sappa. (2007). Haar Wavelets and Edge Orientation Histograms for On-Board Pedestrian Detection. In J. Marti et al. (Ed.), 3rd Iberian Conference on Pattern Recognition and Image Analysis, LNCS 4477 (Vol. 1, 418–425).
Keywords: Pedestrian detection
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