A Tutorial on Support Vector Machines for Pattern Recognition
Data Mining and Knowledge Discovery
Pedestrian Detection Using Wavelet Templates
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Pictorial Structures for Object Recognition
International Journal of Computer Vision
Using AUC and Accuracy in Evaluating Learning Algorithms
IEEE Transactions on Knowledge and Data Engineering
Histograms of Oriented Gradients for Human Detection
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
Fast Human Detection Using a Cascade of Histograms of Oriented Gradients
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2
An introduction to ROC analysis
Pattern Recognition Letters - Special issue: ROC analysis in pattern recognition
An Experimental Study on Pedestrian Classification
IEEE Transactions on Pattern Analysis and Machine Intelligence
LIBLINEAR: A Library for Large Linear Classification
The Journal of Machine Learning Research
MM '08 Proceedings of the 16th ACM international conference on Multimedia
Co-occurrence Histograms of Oriented Gradients for Pedestrian Detection
PSIVT '09 Proceedings of the 3rd Pacific Rim Symposium on Advances in Image and Video Technology
Monocular Pedestrian Detection: Survey and Experiments
IEEE Transactions on Pattern Analysis and Machine Intelligence
Cat face detection with two heterogeneous features
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Object classification using heterogeneous co-occurrence features
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part II
A new pedestrian detection descriptor based on the use of spatial recurrences
CAIP'11 Proceedings of the 14th international conference on Computer analysis of images and patterns - Volume Part II
Mining discriminative co-occurrence patterns for visual recognition
CVPR '11 Proceedings of the 2011 IEEE Conference on Computer Vision and Pattern Recognition
Describing people: A poselet-based approach to attribute classification
ICCV '11 Proceedings of the 2011 International Conference on Computer Vision
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In this work, a framework is proposed for pedestrian classification based on spatial recurrences in the form of recurrence plots. This representation is more general and potentially more discriminative than a histogram of co-occurrences, since the correlation information between different spatial locations is maintained rather than just summarized into histograms. Recurrences are defined over "states" that encode some visual information at spatial locations over a grid. The framework is general in that it accommodates states of arbitrary nature, any similarity distance between pairs of states, arbitrary grids, and varying degree of recurrence summarization. As revealed experimentally, the resulting descriptor is competitive to recent approaches and compares favourably to an state-of-the-art co-occurrence-based descriptor under several occlusion conditions, and in related problems such as pedestrian view recognition, in particular under stringent quantization conditions. One interesting additional finding is that splitting the recurrent information into multiple recurrence plots turns out to be more discriminative than condensing it into fewer plots.