Non-parametric Model for Background Subtraction
ECCV '00 Proceedings of the 6th European Conference on Computer Vision-Part II
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Integral Histogram: A Fast Way To Extract Histograms in Cartesian Spaces
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
Features for Recognition: Viewpoint Invariance for Non-Planar Scenes
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision - Volume 2
Object Categorization by Learned Universal Visual Dictionary
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision - Volume 2
Scalable Recognition with a Vocabulary Tree
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2
Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2
Spatial Weighting for Bag-of-Features
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2
International Journal of Computer Vision
Multiscale conditional random fields for image labeling
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part I
SURF: speeded up robust features
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part I
Object localization with boosting and weak supervision for generic object recognition
SCIA'05 Proceedings of the 14th Scandinavian conference on Image Analysis
Efficient Object Pixel-Level Categorization Using Bag of Features
ISVC '09 Proceedings of the 5th International Symposium on Advances in Visual Computing: Part I
An efficient face recognition through combining local features and statistical feature extraction
PRICAI'10 Proceedings of the 11th Pacific Rim international conference on Trends in artificial intelligence
Building compact local pairwise codebook with joint feature space clustering
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part I
Max-margin dictionary learning for multiclass image categorization
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part IV
ClassCut for unsupervised class segmentation
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part V
Real-Time Object Segmentation Using a Bag of Features Approach
Proceedings of the 2010 conference on Artificial Intelligence Research and Development: Proceedings of the 13th International Conference of the Catalan Association for Artificial Intelligence
A hybrid supervised-unsupervised vocabulary generation algorithm for visual concept recognition
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part III
Online multiple object tracking by hierarchical association of detection responses
Proceedings of the 9th International Conference on Advances in Mobile Computing and Multimedia
Discriminative compact pyramids for object and scene recognition
Pattern Recognition
Learning semantic features for action recognition via diffusion maps
Computer Vision and Image Understanding
Human action recognition using pyramid vocabulary tree
ACCV'09 Proceedings of the 9th Asian conference on Computer Vision - Volume Part III
Co-occurrence random forests for object localization and classification
ACCV'09 Proceedings of the 9th Asian conference on Computer Vision - Volume Part III
Semantic parsing of street scenes from video
International Journal of Robotics Research
What makes Paris look like Paris?
ACM Transactions on Graphics (TOG) - SIGGRAPH 2012 Conference Proceedings
Object detection by admissible region search
AI'11 Proceedings of the 24th international conference on Advances in Artificial Intelligence
Modulating Shape Features by Color Attention for Object Recognition
International Journal of Computer Vision
Compact and adaptive spatial pyramids for scene recognition
Image and Vision Computing
Evaluation of Three Vision Based Object Perception Methods for a Mobile Robot
Journal of Intelligent and Robotic Systems
Approximate gaussian mixtures for large scale vocabularies
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part III
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We present an approach to determine the category and location of objects in images. It performs very fast categorization of each pixel in an image, a brute-force approach made feasible by three key developments: First, our method reduces the size of a large generic dictionary (on the order of ten thousand words) to the low hundreds while increasing classification performance compared to k-means. This is achieved by creating a discriminative dictionary tailored to the task by following the information bottleneck principle. Second, we perform feature-based categorization efficiently on a dense grid by extending the concept of integral images to the computation of local histograms. Third, we compute SIFT descriptors densely in linear time. We compare our method to the state of the art and find that it excels in accuracy and simplicity, performing better while assuming less.