A Dynamical Model of Visually-Guided Steering, Obstacle Avoidance, and Route Selection
International Journal of Computer Vision - Special Issue on Computational Vision at Brown University
Real-Time Estimation of Human Body Posture from Monocular Thermal Images
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Kinematic based Human Motion Analysis in Infrared Sequences
WACV '02 Proceedings of the Sixth IEEE Workshop on Applications of Computer Vision
Estimation of Distance to Planar Surfaces and Type of Material with Infrared Sensors
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 1 - Volume 01
Motion features to enhance scene segmentation in active visual attention
Pattern Recognition Letters
Background-Subtraction in Thermal Imagery Using Contour Saliency
International Journal of Computer Vision
Visual surveillance by dynamic visual attention method
Pattern Recognition
Egomotion Estimation in Monocular Infra-red Image Sequence for Night Vision Applications
WACV '07 Proceedings of the Eighth IEEE Workshop on Applications of Computer Vision
Reverse Optical Flow for Self-Supervised Adaptive Autonomous Robot Navigation
International Journal of Computer Vision
Development of intelligent multisensor surveillance systems with agents
Robotics and Autonomous Systems
A multimode navigation system for an assistive robotics project
Autonomous Robots
Agent-Based Modeling of a Mobile Robot to Detect and Follow Humans
KES-AMSTA '09 Proceedings of the Third KES International Symposium on Agent and Multi-Agent Systems: Technologies and Applications
An iterative image registration technique with an application to stereo vision
IJCAI'81 Proceedings of the 7th international joint conference on Artificial intelligence - Volume 2
Pedestrian detection and tracking with night vision
IEEE Transactions on Intelligent Transportation Systems
Thermal cameras and applications: a survey
Machine Vision and Applications
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Perceiving the environment is crucial in any application related to mobile robotics research. In this paper, a new approach to real-time human detection through processing video captured by a thermal infrared camera mounted on the indoor autonomous mobile platform mSecurit TM is introduced. The approach starts with a phase of static analysis for the detection of human candidates through some classical image processing techniques such as image normalization and thresholding. Then, the proposal uses Lukas and Kanade optical flow without pyramids algorithm for filtering moving foreground objects from moving scene background. The results of both phases are compared to enhance the human segmentation by infrared camera. Indeed, optical flow will emphasize the foreground moving areas gotten at the initial human candidates detection.