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Novel Image Segmentation Using Gaussian Mixture Models -Application to Plant Phenotypic Analysis
A novel algorithm is proposed for background estimation using statistical pattern recognition. Usually the
segmentation of objects in images is achieved by identifying homogeneous regions in individual images or by finding motions of objects...
Novel Image Segmentation Based on Machine Learning and Its Application to Plant Analysis
A novel algorithm is proposed for background estimation using machine learning and statistical pattern recognition. Usually the segmentation of objects in images is achieved by identifying homogeneous regions in individual images or by finding...
Background Estimation In Kernel Space
One problem in background estimation is the inherent change in the background such as waving
tree branches, water surfaces, camera shakes, and the existence of moving objects in every
image. In this paper, a new method for background...
A Novel Approach in Video Scene Background Estimation
Abstract—This paper presents a novel method for
background estimation in a video sequence from the function
estimation point of view. The proposed algorithm, called
Kernel-based Background Learning (KBL), is designed based...
A frequency hopping algorithm against jamming attacks under asynchronous environments
Consideration related to engineering human development in Thailand focusing on after AEC
Gait Recognition Based on Human Leg Gesture Classification
Abstract: This paper presents a human gait recognition system based on a leg gesture separation.
Main innovation in this paper includes gait recognition using leg gesture classification which gives a
high ...