Pedestrian detection and tracking in infrared imagery using shape and appearance
Computer Vision and Image Understanding
Pedestrian recognition with false positive detection by model-based tracking
SPPR'07 Proceedings of the Fourth conference on IASTED International Conference: Signal Processing, Pattern Recognition, and Applications
Pedestrian recognition in road sequences
ISPRA'06 Proceedings of the 5th WSEAS International Conference on Signal Processing, Robotics and Automation
Contour-motion feature (CMF): A space-time approach for robust pedestrian detection
Pattern Recognition Letters
Associated evolution of a support vector machine-based classifier for pedestrian detection
Information Sciences: an International Journal
Segmenting Humans from Mobile Thermal Infrared Imagery
IWINAC '09 Proceedings of the 3rd International Work-Conference on The Interplay Between Natural and Artificial Computation: Part II: Bioinspired Applications in Artificial and Natural Computation
Real-time pedestrian detection and tracking at nighttime for driver-assistance systems
IEEE Transactions on Intelligent Transportation Systems
IEEE Transactions on Intelligent Transportation Systems
Pedestrian recognition with false positive detection by model-based tracking
SPPRA '07 Proceedings of the Fourth IASTED International Conference on Signal Processing, Pattern Recognition, and Applications
IEEE Transactions on Intelligent Transportation Systems
The treelike assembly classifier for pedestrian detection
PAISI'07 Proceedings of the 2007 Pacific Asia conference on Intelligence and security informatics
A bibliographic analysis of the IEEE transactions on intelligent transportation systems literature
IEEE Transactions on Intelligent Transportation Systems
IEEE Transactions on Image Processing
Human detection with a multi-sensors stereovision system
ICISP'10 Proceedings of the 4th international conference on Image and signal processing
Real-time human segmentation in infrared videos
Expert Systems with Applications: An International Journal
Optical flow or image subtraction in human detection from infrared camera on mobile robot
Robotics and Autonomous Systems
Robust people segmentation by static infrared surveillance camera
IEA/AIE'10 Proceedings of the 23rd international conference on Industrial engineering and other applications of applied intelligent systems - Volume Part I
Background subtraction for automated multisensor surveillance: a comprehensive review
EURASIP Journal on Advances in Signal Processing - Special issue on advanced image processing for defense and security applications
International Journal of Information and Communication Technology
TED: A texture-edge descriptor for pedestrian detection in video sequences
Pattern Recognition
Optical camera based pedestrian detection in rainy or snowy weather
FSKD'06 Proceedings of the Third international conference on Fuzzy Systems and Knowledge Discovery
Fast pedestrian detection using color information
ISI'06 Proceedings of the 4th IEEE international conference on Intelligence and Security Informatics
A multiclass classifier to detect pedestrians and acquire their moving styles
ISI'06 Proceedings of the 4th IEEE international conference on Intelligence and Security Informatics
PSIVT'06 Proceedings of the First Pacific Rim conference on Advances in Image and Video Technology
Performance analysis of pedestrian detection at night time with different classifiers
ADCONS'11 Proceedings of the 2011 international conference on Advanced Computing, Networking and Security
Rapid pedestrian detection in unseen scenes
Neurocomputing
Transfer learning for pedestrian detection
Neurocomputing
A self-constructing cascade classifier with AdaBoost and SVM for pedestriandetection
Engineering Applications of Artificial Intelligence
Fast saliency-aware multi-modality image fusion
Neurocomputing
Thermal cameras and applications: a survey
Machine Vision and Applications
| Hi-index | 0.00 |
This paper presents a method for pedestrian detection and tracking using a single night-vision video camera installed on the vehicle. To deal with the nonrigid nature of human appearance on the road, a two-step detection/tracking method is proposed. The detection phase is performed by a support vector machine (SVM) with size-normalized pedestrian candidates and the tracking phase is a combination of Kalman filter prediction and mean shift tracking. The detection phase is further strengthened by information obtained by a road-detection module that provides key information for pedestrian validation. Experimental comparisons (e.g., grayscale SVM recognition versus binary SVM recognition and entire-body detection versus upper-body detection) have been carried out to illustrate the feasibility of our approach.