Background-Subtraction in Thermal Imagery Using Contour Saliency
International Journal of Computer Vision
Fusion of color and infrared video for moving human detection
Pattern Recognition
Background-subtraction using contour-based fusion of thermal and visible imagery
Computer Vision and Image Understanding
Pedestrian detection by means of far-infrared stereo vision
Computer Vision and Image Understanding
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
Identification of humans using infrared gait recognition
VECIMS'09 Proceedings of the 2009 IEEE international conference on Virtual Environments, Human-Computer Interfaces and Measurement Systems
Infrared gait recognition based on wavelet transform and support vector machine
Pattern Recognition
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
Advances in automatic gait recognition
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
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
Fusion of thermal infrared and visible spectrum video for robust surveillance
ICVGIP'06 Proceedings of the 5th Indian conference on Computer Vision, Graphics and Image Processing
Thermal cameras and applications: a survey
Machine Vision and Applications
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In an infrared (IR) image sequence of human walking the human silhouette can be reliably extracted fromthe background regardless of lighting conditions and colors of the human surfaces and backgrounds in mostcases. Moreover some important regions containingskin such as face and hands can be accurately detectedin IR image sequences. In this paper we propose akinematic based approach for automatic human motionanalysis from IR image sequences. The proposed approach estimates 3D human walking parameters by performing a modifed least squares fit of the 3D kinematicmodel to the 2D silhouette extracted from a monocular IR image sequence where continuity and symmetryof human walking and detected hand regions are alsoconsidered in the optimization function. Experimentalresults show that the proposed approach achieves goodperformance in gait analysis with different view angleswith respect to the walking direction and is promisingfor further gait recognition.