Alzheimer's disease (AD) is the most common progressive neurodegenerative disorder.
Therefore, early detection and evaluation of prognosis of AD is an important issue in …

Visual tracking remains a challenging problem because of both intrinsic appearance
variability of object and extrinsic disturbance. To deal with this problem, we present a novel …

Breast cancer is the second leading cause of cancer death among women preceded by
cervix cancer. It has been reported that at the early stage of detection there is 85% chance of …

We propose a tracking-free method to detect the regions of interest (ROI) in a wide-angle
video stream. A region is defined as a statistical outlier among occurrences of motion …

Detection and tracking of an unknown-color spherical object in a partially-known
environment using a robot with a single camera is the core problem addressed in this article …

This paper proposed a novel cost aggregation method with modified bilateral filter. By
smoothing each element of the structure tensor considering both the spatial and gradient …

Tracking is an important process of computer vision research. But still after so many
researches accuracy is still become a bottleneck. Within different tracking techniques …

This paper describes a structure tensor based method to characterize activity in videos.
Based on the relationship observed between structure tensors and covariance matrices, the …

Asymmetry analysis in breast infrared images plays a significant role in the early diagnosis
of breast cancer detection. In this work, an analysis on the characteristics of normal and …

As video capturing devices become more ubiquitous from surveillance cameras to smart
phones, the demand of automated video analysis is increasing as never before. One …