Distance transformations in digital images
Computer Vision, Graphics, and Image Processing
International Journal of Computer Vision
Learning flexible models from image sequences
ECCV '94 Proceedings of the third European conference on Computer vision (vol. 1)
Active shape models—their training and application
Computer Vision and Image Understanding
Modeling parameter space behavior of vision systems using Bayesian networks
Computer Vision and Image Understanding
Robust Real-Time Periodic Motion Detection, Analysis, and Applications
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Trainable System for Object Detection
International Journal of Computer Vision - special issue on learning and vision at the center for biological and computational learning, Massachusetts Institute of Technology
Robust Classification for Imprecise Environments
Machine Learning
Example-Based Object Detection in Images by Components
IEEE Transactions on Pattern Analysis and Machine Intelligence
Sensor-Based Pedestrian Protection
IEEE Intelligent Systems
Filtering Using a Tree-Based Estimator
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
Convex Optimization
Motion-Based Recognition of Pedestrians
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 2 - Volume 2
Detecting Pedestrians Using Patterns of Motion and Appearance
International Journal of Computer Vision
Optimization Design of Cascaded Classifiers
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
An Experimental Study on Pedestrian Classification
IEEE Transactions on Pattern Analysis and Machine Intelligence
Automatic cascade training with perturbation bias
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Stereo- and neural network-based pedestrian detection
IEEE Transactions on Intelligent Transportation Systems
An adaptable time-delay neural-network algorithm for image sequence analysis
IEEE Transactions on Neural Networks
A Bayesian, Exemplar-Based Approach to Hierarchical Shape Matching
IEEE Transactions on Pattern Analysis and Machine Intelligence
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
A featureless and stochastic approach to on-board stereo vision system pose
Image and Vision Computing
Building Pedestrian Contour Hierarchies for Improving Detection in Traffic Scenes
ICCVG 2008 Proceedings of the International Conference on Computer Vision and Graphics: Revised Papers
Mixtures of Classifiers for Recognizing Standing and Running Pedestrians
ICCVG 2008 Proceedings of the International Conference on Computer Vision and Graphics: Revised Papers
Dense Stereo-Based ROI Generation for Pedestrian Detection
Proceedings of the 31st DAGM Symposium on Pattern Recognition
Pedestrian Detection by Probabilistic Component Assembly
Proceedings of the 31st DAGM Symposium on Pattern Recognition
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
A Fast Stereo-based System for Detecting and Tracking Pedestrians from a Moving Vehicle
International Journal of Robotics Research
Real-time pedestrian detection and tracking at nighttime for driver-assistance systems
IEEE Transactions on Intelligent Transportation Systems
IEEE Transactions on Intelligent Transportation Systems
ISVC '09 Proceedings of the 5th International Symposium on Advances in Visual Computing: Part I
Moving obstacle detection in highly dynamic scenes
ICRA'09 Proceedings of the 2009 IEEE international conference on Robotics and Automation
Moving object detection by multi-view geometric techniques from a single camera mounted robot
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
On-road vehicle detection by cascaded classifiers
Proceedings of the Third Annual ACM Bangalore Conference
Pedestrian recognition from a moving catadioptric camera
Proceedings of the 29th DAGM conference on Pattern recognition
2D-3D-based on-board pedestrian detection system
Computer Vision and Image Understanding
Vision and RFID data fusion for tracking people in crowds by a mobile robot
Computer Vision and Image Understanding
Vision based approaches for driver assistance systems
ICAI'10 Proceedings of the 11th WSEAS international conference on Automation & information
Multi-person tracking with sparse detection and continuous segmentation
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
Monocular 3D scene modeling and inference: understanding multi-object traffic scenes
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part IV
Boosting chamfer matching by learning chamfer distance normalization
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part V
Disparity statistics for pedestrian detection: combining appearance, motion and stereo
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part VI
Object Detection and Tracking for Autonomous Navigation in Dynamic Environments
International Journal of Robotics Research
Geometrically constrained level set tracking for automotive applications
Proceedings of the 32nd DAGM conference on Pattern recognition
Combining histograms of oriented gradients with global feature for human detection
MMM'11 Proceedings of the 17th international conference on Advances in multimedia modeling - Volume Part II
Pyramid center-symmetric local binary/trinary patterns for effective pedestrian detection
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part IV
Towards human motion capture from a camera mounted on a mobile robot
Image and Vision Computing
Video analytics solution for tracking customer locations in retail shopping malls
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
Combining plane estimation with shape detection for holistic scene understanding
ACIVS'11 Proceedings of the 13th international conference on Advanced concepts for intelligent vision systems
HOG-based descriptors on rotation invariant human detection
ACCV'10 Proceedings of the 2010 international conference on Computer vision - Volume Part I
Efficient use of geometric constraints for sliding-window object detection in video
ICVS'11 Proceedings of the 8th international conference on Computer vision systems
Multi-view 3D Human Pose Estimation in Complex Environment
International Journal of Computer Vision
Sensor management: a new paradigm for automatic video surveillance
HAIS'10 Proceedings of the 5th international conference on Hybrid Artificial Intelligence Systems - Volume Part II
Journal of Intelligent and Robotic Systems
Real time vision based multi-person tracking for mobile robotics and intelligent vehicles
ICIRA'11 Proceedings of the 4th international conference on Intelligent Robotics and Applications - Volume Part II
Dynamic appearance model for particle filter based visual tracking
Pattern Recognition
Transfer learning for pedestrian detection
Neurocomputing
Taking mobile multi-object tracking to the next level: people, unknown objects, and carried items
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part V
A survey on multi person identification and localization
Proceedings of the 5th International Conference on PErvasive Technologies Related to Assistive Environments
A data-driven detection optimization framework
Neurocomputing
Pedestrian detection on moving vehicle using stereovision and 2d cue
IScIDE'12 Proceedings of the third Sino-foreign-interchange conference on Intelligent Science and Intelligent Data Engineering
Max-Margin regularization for reducing accidentalness in chamfer matching
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part I
Robust object tracking in crowd dynamic scenes using explicit stereo depth
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part III
Human detection with occlusion handling by over-segmentation and clustering on foreground regions
ACCV'12 Proceedings of the 11th international conference on Computer Vision - Volume 2
A novel multiplex cascade classifier for pedestrian detection
Pattern Recognition Letters
A left-turn driving aid using projected oncoming vehicle paths with augmented reality
Proceedings of the 5th International Conference on Automotive User Interfaces and Interactive Vehicular Applications
Evidential grammars for image interpretation: application to multimodal traffic scene understanding
IUKM'13 Proceedings of the 2013 international conference on Integrated Uncertainty in Knowledge Modelling and Decision Making
Detecting pedestrians on a Movement Feature Space
Pattern Recognition
Robotics and Autonomous Systems
Event classification for vehicle navigation system by regional optical flow analysis
Machine Vision and Applications
Hi-index | 0.00 |
This paper presents a multi-cue vision system for the real-time detection and tracking of pedestrians from a moving vehicle. The detection component involves a cascade of modules, each utilizing complementary visual criteria to successively narrow down the image search space, balancing robustness and efficiency considerations. Novel is the tight integration of the consecutive modules: (sparse) stereo-based ROI generation, shape-based detection, texture-based classification and (dense) stereo-based verification. For example, shape-based detection activates a weighted combination of texture-based classifiers, each attuned to a particular body pose.Performance of individual modules and their interaction is analyzed by means of Receiver Operator Characteristics (ROCs). A sequential optimization technique allows the successive combination of individual ROCs, providing optimized system parameter settings in a systematic fashion, avoiding ad-hoc parameter tuning. Application-dependent processing constraints can be incorporated in the optimization procedure.Results from extensive field tests in difficult urban traffic conditions suggest system performance is at the leading edge.