Distance transformations in digital images
Computer Vision, Graphics, and Image Processing
Hierarchical Chamfer Matching: A Parametric Edge Matching Algorithm
IEEE Transactions on Pattern Analysis and Machine Intelligence
Active shape models—their training and application
Computer Vision and Image Understanding
Statistical Pattern Recognition: A Review
IEEE Transactions on Pattern Analysis and Machine Intelligence
Automatic Construction of 2D Shape Models
IEEE Transactions on Pattern Analysis and Machine Intelligence
Example-Based Object Detection in Images by Components
IEEE Transactions on Pattern Analysis and Machine Intelligence
Probabilistic Tracking with Exemplars in a Metric Space
International Journal of Computer Vision - Marr Prize Special Issue
IEEE Transactions on Pattern Analysis and Machine Intelligence
Comparing Images Using the Hausdorff Distance
IEEE Transactions on Pattern Analysis and Machine Intelligence
The Position-Orientation Masking Approach to Parametric Search for Template Matching
IEEE Transactions on Pattern Analysis and Machine Intelligence
Shape Matching and Object Recognition Using Shape Contexts
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Probabilistic Formulation for Hausdorff Matching
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Locating objects using the Hausdorff distance
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Spectral Grouping Using the Nyström Method
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Similarity-Based Robust Clustering Method
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Coarse-to-Fine Strategy for Multiclass Shape Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Statistical Shape Analysis: Clustering, Learning, and Testing
IEEE Transactions on Pattern Analysis and Machine Intelligence
Pedestrian Detection in Crowded Scenes
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
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
Model-Based Hand Tracking Using a Hierarchical Bayesian Filter
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multi-cue Pedestrian Detection and Tracking from a Moving Vehicle
International Journal of Computer Vision
Automatic target recognition by matching oriented edge pixels
IEEE Transactions on Image Processing
International Journal of Computer Vision
Forensic bite mark identification using image processing methods
Proceedings of the 2009 ACM symposium on Applied Computing
High-Level Fusion of Depth and Intensity for Pedestrian Classification
Proceedings of the 31st DAGM Symposium on Pattern Recognition
A neural network approach to pedestrian detection
ICCOMP'09 Proceedings of the WSEAES 13th international conference on Computers
Human detection based on weighted template matching
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
A Study of Parts-Based Object Class Detection Using Complete Graphs
International Journal of Computer Vision
Online shape learning using binary search trees
Image and Vision Computing
Planar shape matching and feature extraction using shape profile
GMP'08 Proceedings of the 5th international conference on Advances in geometric modeling and processing
A novel template matching method for human detection
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Anthropocentric video analysis for film and games postproduction
Proceedings of the 11th International Conference on Computer Systems and Technologies and Workshop for PhD Students in Computing on International Conference on Computer Systems and Technologies
Wireless smart camera network for real-time human 3D pose reconstruction
Computer Vision and Image Understanding
Dynamic shape learning and forgetting
ICANN'10 Proceedings of the 20th international conference on Artificial neural networks: Part III
Object recognition using junctions
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part V
A coarse-to-fine taxonomy of constellations for fast multi-class object detection
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part V
Detecting people using mutually consistent poselet activations
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part VI
Finding human poses in videos using concurrent matching and segmentation
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part I
Generic object class detection using boosted configurations of oriented edges
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part II
View-dependent peel-away visualization for volumetric data
Proceedings of the 25th Spring Conference on Computer Graphics
Generic object class detection using feature maps
SCIA'11 Proceedings of the 17th Scandinavian conference on Image analysis
Part-based adaptive detection of workpieces using differential evolution
Signal Processing
Multi-view 3D Human Pose Estimation in Complex Environment
International Journal of Computer Vision
Shape matching using a binary search tree structure of weak classifiers
Pattern Recognition
An improved template matching method for object detection
ACCV'09 Proceedings of the 9th Asian conference on Computer Vision - Volume Part III
Beyond pairwise shape similarity analysis
ACCV'09 Proceedings of the 9th Asian conference on Computer Vision - Volume Part III
Fast Human Pose Detection Using Randomized Hierarchical Cascades of Rejectors
International Journal of Computer Vision
Using structural patches tiling to guide human head-shoulder segmentation
Proceedings of the 20th ACM international conference on Multimedia
Improving HOG with image segmentation: application to human detection
ACIVS'12 Proceedings of the 14th international conference on Advanced Concepts for Intelligent Vision Systems
From meaningful contours to discriminative object shape
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part I
Finding people using scale, rotation and articulation invariant matching
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part IV
Class-Specific weighted dominant orientation templates for object detection
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part I
Pose refinement of transparent rigid objects with a stereo camera
Transactions on Computational Science XIX
Robotics and Autonomous Systems
Computer Vision and Image Understanding
A hierarchical algorithm for fuzzy template matching in emotional facial images
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology - Computational intelligence models for image processing and information reasoning
The Shape Boltzmann Machine: A Strong Model of Object Shape
International Journal of Computer Vision
Hi-index | 0.14 |
This paper presents a novel probabilistic approach to hierarchical, exemplar-based shape matching. No feature correspondence is needed among exemplars, just a suitable pairwise similarity measure. The approach uses a template tree to efficiently represent and match the variety of shape exemplars. The tree is generated offline by a bottom-up clustering approach using stochastic optimization. Online matching involves a simultaneous coarse-to-fine approach over the template tree and over the transformation parameters. The main contribution of this paper is a Bayesian model to estimate the a posteriori probability of the object class, after a certain match at a node of the tree. This model takes into account object scale and saliency and allows for a principled setting of the matching thresholds such that unpromising paths in the tree traversal process are eliminated early on. The proposed approach was tested in a variety of application domains. Here, results are presented on one of the more challenging domains: real-time pedestrian detection from a moving vehicle. A significant speed-up is obtained when comparing the proposed probabilistic matching approach with a manually tuned nonprobabilistic variant, both utilizing the same template tree structure.