Active shape models—their training and application
Computer Vision and Image Understanding
CONDENSATION—Conditional Density Propagation forVisual Tracking
International Journal of Computer Vision
The visual analysis of human movement: a survey
Computer Vision and Image Understanding
Comparing Images Using the Hausdorff Distance
IEEE Transactions on Pattern Analysis and Machine Intelligence
Autonomous Driving Goes Downtown
IEEE Intelligent Systems
Walking Pedestrian Detection and Classification
Mustererkennung 1999, 21. DAGM-Symposium
VS '99 Proceedings of the Second IEEE Workshop on Visual Surveillance
A Pattern Classification Approach to Dynamical Object Detection
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
Motion-Based Recognition of Pedestrians
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 2 - Volume 2
Parametric correspondence and chamfer matching: two new techniques for image matching
IJCAI'77 Proceedings of the 5th international joint conference on Artificial intelligence - Volume 2
Sensor-Based Pedestrian Protection
IEEE Intelligent Systems
Color-Based Probabilistic Tracking
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part I
Automatic Detection and Tracking of Human Motion with a View-Based Representation
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part I
Visual Categorization of Children and Adult Walking Styles
AVBPA '01 Proceedings of the Third International Conference on Audio- and Video-Based Biometric Person Authentication
Recognition, Tracking, and Reconstruction of Human Motion
AMDO '02 Proceedings of the Second International Workshop on Articulated Motion and Deformable Objects
Building Models of Animals from Video
IEEE Transactions on Pattern Analysis and Machine Intelligence
Model-Based Hand Tracking Using a Hierarchical Bayesian Filter
IEEE Transactions on Pattern Analysis and Machine Intelligence
Computer Vision Approaches to Pedestrian Detection: Visible Spectrum Survey
IbPRIA '07 Proceedings of the 3rd Iberian conference on Pattern Recognition and Image Analysis, Part I
Selection of Histograms of Oriented Gradients Features for Pedestrian Detection
Neural Information Processing
Asymmetric Learning for Pedestrian Detection Based on Joint Local Orientation Histograms
ISNN '09 Proceedings of the 6th International Symposium on Neural Networks on Advances in Neural Networks
Building Pedestrian Contour Hierarchies for Improving Detection in Traffic Scenes
ICCVG 2008 Proceedings of the International Conference on Computer Vision and Graphics: Revised Papers
Applying Chaotic Particle Swarm Optimization to the Template Matching Problem
ISICA '09 Proceedings of the 4th International Symposium on Advances in Computation and Intelligence
Robust Pose Recognition of the Obscured Human Body
International Journal of Computer Vision
Spatial-temporal granularity-tunable gradients partition (STGGP) descriptors for human detection
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part I
Multiresolution models for object detection
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part IV
Pedestrian validation in infrared images by means of active contours and neural networks
EURASIP Journal on Advances in Signal Processing - Special issue on advanced image processing for defense and security applications
Automatic detection of pedestrians from stereo camera images
Artificial Life and Robotics
Multiple-object tracking in cluttered and crowded public spaces
ISVC'10 Proceedings of the 6th international conference on Advances in visual computing - Volume Part III
Shape context and chamfer matching in cluttered scenes
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
Predicate Logic Based Image Grammars for Complex Pattern Recognition
International Journal of Computer Vision
People detection using color and depth images
MCPR'11 Proceedings of the Third Mexican conference on Pattern recognition
Fast human detection using a cascade of united hogs
ICSI'11 Proceedings of the Second international conference on Advances in swarm intelligence - Volume Part II
Recovery and Reasoning About Occlusions in 3D Using Few Cameras with Applications to 3D Tracking
International Journal of Computer Vision
Recent advances and trends in visual tracking: A review
Neurocomputing
TED: A texture-edge descriptor for pedestrian detection in video sequences
Pattern Recognition
An evaluation of local interest regions for non-rigid object class recognition
Expert Systems with Applications: An International Journal
Temporally integrated pedestrian detection from non-stationary video
MMM'07 Proceedings of the 13th international conference on Multimedia Modeling - Volume Part I
Sensor fusion based obstacle detection/classification for active pedestrian protection system
ISVC'06 Proceedings of the Second international conference on Advances in Visual Computing - Volume Part II
Face recognition from video using the generic shape-illumination manifold
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part IV
Segmenting highly articulated video objects with weak-prior random forests
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part IV
Fast pedestrian detection using color information
ISI'06 Proceedings of the 4th IEEE international conference on Intelligence and Security Informatics
Multivariate relevance vector machines for tracking
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part III
Boosting soft-margin SVM with feature selection for pedestrian detection
MCS'05 Proceedings of the 6th international conference on Multiple Classifier Systems
Template-based hand detection and tracking
ASB'03 Proceedings of the 1st international conference on Advanced Studies in Biometrics
Hierarchical chamfer matching based on propagation of gradient strengths
DGCI'06 Proceedings of the 13th international conference on Discrete Geometry for Computer Imagery
Pedestrian detection by multiple decision-based neural networks
ISNN'05 Proceedings of the Second international conference on Advances in Neural Networks - Volume Part III
ISI'05 Proceedings of the 2005 IEEE international conference on Intelligence and Security Informatics
Application of cooperative co-evolution in pedestrian detection systems
ISI'05 Proceedings of the 2005 IEEE international conference on Intelligence and Security Informatics
Learning class-specific edges for object detection and segmentation
ICVGIP'06 Proceedings of the 5th Indian conference on Computer Vision, Graphics and Image Processing
Facial expression recognition using spatiotemporal boosted discriminatory classifiers
ICIAR'10 Proceedings of the 7th international conference on Image Analysis and Recognition - Volume Part I
An approach to vision-based person detection in robotic applications
IbPRIA'05 Proceedings of the Second Iberian conference on Pattern Recognition and Image Analysis - Volume Part I
Rapid pedestrian detection in unseen scenes
Neurocomputing
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International Journal of Computer Vision
Transfer learning for pedestrian detection
Neurocomputing
Real-time human pose recognition in parts from single depth images
Communications of the ACM
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part II
A self-constructing cascade classifier with AdaBoost and SVM for pedestriandetection
Engineering Applications of Artificial Intelligence
Novel and efficient pedestrian detection using bidirectional PCA
Pattern Recognition
Multimedia Tools and Applications
Event classification for vehicle navigation system by regional optical flow analysis
Machine Vision and Applications
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This paper presents a prototype system for pedestrian detection on-board a moving vehicle. The system uses a generic two-step approach for efficient object detection. In the first step, contour features are used in a hierarchical template matching approach to efficiently "lock" onto candidate solutions. Shape matching is based on Distance Transforms. By capturing the objects shape variability by means of a template hierarchy and using a combined coarse-to-fine approach in shape and parameter space, this method achieves very large speed-ups compared to a brute-force method. We have measured gains of several orders of magnitude. The second step utilizes the richer set of intensity features in a pattern classification approach to verify the candidate solutions (i.e. using Radial Basis Functions). We present experimental results on pedestrian detection off-line and on-board our Urban Traffic Assistant vehicle and discuss the challenges that lie ahead.