New Mother Wavelet for Pattern Detection in IR Image
TypeCommunications avec actes
The paper presents a new mother wavelet adapted from a speciﬁc pattern. Wavelet multi-resolution analysis uses this wavelet to detect the position of the pattern in an Infra-Red (IR) signal under scale variation and the presence of noise. IR signal is extracted from IR image sequence recorded by an IR camera, Time of Flight (TOF) sensor conﬁguration. The maximum correlation between the pattern and the signal of interest will be used as a criterion to deﬁne the mother wavelet. The proposed mother wavelet were tested and veriﬁed under the scale variation and the presence of noise. The experimental tests and performance analysis show promising results for both scale variation and noisy signal. 90% accuracy for the proposed wavelet under intensive noisy condition (50% of the signal amplitude) is guaranteed and high precision is expected under real condition.
Showing items related by title, author, creator and subject.
MIRZAEI, Mohammad Ali; CHARDONNET, Jean-Rémy; PERE, Christian; MERIENNE, Frédéric (2012)This paper focuses on the measurement and the mathematical definition of cognitive parameters of designing a navigation systembased on these parameters. The nausea level due to different velocities of a 3D scene, the user ...
MIRZAEI, Mohammad Ali; CHARDONNET, Jean-Rémy; PERE, Christian; MERIENNE, Frédéric (2012)3D systems due to its complicated electronical, mechanical and vision accessories have enormous degree of complexity both in design and evaluation. Navigation system usually plays an important role in most 3D ...
MIRZAEI, Mohammad Ali; CHARDONNET, Jean-Rémy; PERE, Christian; MERIENNE, Frédéric (IEEE, 2013)This paper proposes an accurate sensor fusion scheme for navigation inside a real-scale 3D model by combining audio and video signals. Audio signal of a microphone-array is merged by Minimum Variance Distortion-less Response ...
Improvement of the real-time gesture analysis by a new mother wavelet and the application for the navigation inside a scale-one 3D system MIRZAEI, Mohammad Ali; CHARDONNET, Jean-Rémy; MERIENNE, Frédéric; PERE, Christian (IEEE, 2013)This paper proposes a navigation technique for traveling inside a real-scale 3D model based on human gesture analysis. In the ﬁrst step, a simple threshold is used as a criterion to analyze gestures. In the next step, a ...
Visually Induced Motion Sickness Estimation and Prediction in Virtual Reality using Frequency Components Analysis of Postural Sway Signal CHARDONNET, Jean-Rémy; MIRZAEI, Mohammad Ali; MERIENNE, Frédéric (2015)The paper proposes a method for estimating and predicting visually induced motion sickness (VIMS) occurring in a navigation task in a 3D immersive virtual environment, by extracting features from the body postural sway ...