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 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
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This paper presents a real-time egomotion estimation scheme that is specifically designed for measuring vehicle motion from a monocular infra-red image sequence at night time. Conventional methods of estimating camera motion such as optical-flow based method or direct-method that depends on brightness constancy do not work well in relatively low resolution infra-red imagery due to lack of textureness. In this paper, we propose a method that is based on aggregate feature tracking that is constrained by focus of expansion from instantaneous vehicle motion. Qualitative analysis of error is presented by comparing with groundtruth accelerometer data. An application of ground plane estimation combined with vanishing point estimation is also presented for robust pose estimation.