Background-Subtraction in Thermal Imagery Using Contour Saliency
International Journal of Computer Vision
An adaptive focus-of-attention model for video surveillance and monitoring
Machine Vision and Applications
Pedestrian detection and tracking in infrared imagery using shape and appearance
Computer Vision and Image Understanding
A Real Time Human Detection System Based on Far Infrared Vision
ICISP '08 Proceedings of the 3rd international conference on Image and Signal Processing
Detection of moving objects using incremental connectivity outlier factor algorithm
Proceedings of the 47th Annual Southeast Regional Conference
Human detection with a multi-sensors stereovision system
ICISP'10 Proceedings of the 4th international conference on Image and signal processing
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
Recovery and Reasoning About Occlusions in 3D Using Few Cameras with Applications to 3D Tracking
International Journal of Computer Vision
A survey of video datasets for human action and activity recognition
Computer Vision and Image Understanding
Finite asymmetric generalized Gaussian mixture models learning for infrared object detection
Computer Vision and Image Understanding
Thermal cameras and applications: a survey
Machine Vision and Applications
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We present a two-stage template-based method to detect people in widely varying thermal imagery. The approach initially performs a fast screening procedure using a generalized template to locate potential person locations. Next an AdaBoosted ensemble classifier using automatically tuned filters is employed to test the hypothesized person locations. We demonstrate and evaluate the approach using a challenging dataset of thermal imagery.