Study Design A cross-sectional study. Purpose To clarify the prevalence of chronic nonspecific low back pain (CNSLBP) and its associated factors among middle-aged and elderly Japanese individuals using data from a musculoskeletal examination conducted in general Japanese populations. Overview of Literature Most studies evaluating low back pain-associated factors have been conducted in Weste...

Image hashing allows compression, enhancement or other signal processing operations on digital images which are usually acceptable manipulations. Whereas, cryptographic hash functions are very sensitive to even single bit changes in image. Image hashing is a sum of important quality features in quantized form. In this paper, we proposed a novel image hashing algorithm for authentication which i...

Two novel real-time local visual features, namely FAST+LBP and FAST+CSLBP, are proposed in this paper for omnidirectional vision. They combine the advantages of two computationally simple operators by using FAST as the feature detector, and LBP and CS-LBP operators as feature descriptors. The matching experiments of the panoramic images from the COLD database were performed to determine their o...

This paper presents a method to detect copy-move image forgery using CS-LBP (centre symmetric local binary pattern), an extension of basic local binary pattern. In the proposed method, firstly gray level conversion is performed on the given image. Later, the image will be decomposed into fixed sized nonoverlapping blocks. Feature extraction can be done using CSLBP, as this technique is invarian...

In this paper, a real-time local visual feature, namely FAST+CSLBP, is proposed for omnidirectional vision. It combines the advantages of two computationally simple operators by using Features from Accelerated Segment Test (FAST) as the feature detector, and Center-Symmetric Local Binary Patterns (CS-LBP) operator as the feature descriptor. The matching experiments of the panoramic images from ...

In this paper, we proposed a novel method for visible vehicle tracking in traffic video sequence using model based strategy combined with spatial local features. Our tracking algorithm consists of two components: vehicle detection and vehicle tracking. In the detection step, we subtract the background and obtained candidate foreground objects represented as foreground mask. After obtaining fore...