W4: Real-Time Surveillance of People and Their Activities
IEEE Transactions on Pattern Analysis and Machine Intelligence
Automated Detection of Human for Visual Surveillance System
ICPR '96 Proceedings of the International Conference on Pattern Recognition (ICPR '96) Volume III-Volume 7276 - Volume 7276
A General Framework for Object Detection
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
A Two-Stage Template Approach to Person Detection in Thermal Imagery
WACV-MOTION '05 Proceedings of the Seventh IEEE Workshops on Application of Computer Vision (WACV/MOTION'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
Background-subtraction using contour-based fusion of thermal and visible imagery
Computer Vision and Image Understanding
Comparative Study on Foreground Detection Algorithms for Human Detection
ICIG '07 Proceedings of the Fourth International Conference on Image and Graphics
Human detection with a multi-sensors stereovision system
ICISP'10 Proceedings of the 4th international conference on Image and signal processing
Fast saliency-aware multi-modality image fusion
Neurocomputing
Thermal cameras and applications: a survey
Machine Vision and Applications
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We present in this article a human detection and tracking algorithm using infrared vision in order to have reliable information on a room occupation. We intend to use this information to limit energetic consumption (light, heating). We perform first, a foreground segmentation with a Gaussian background model. A tracking step based on connected components intersections allows to collect information on 2D displacements of moving objects in the image plane. A classification based on a cascade of boosted classifiers is used for the recognition. Experimental results show the efficiency of the proposed algorithm.