In this study, an image processing-based deep learning approach for short-term forecast of
solar radiation has been developed. For this purpose, firstly, cloud movements occurred …

This paper presents a novel algorithm for the detection and tracking of low relative speed
moving vehicles. The proposed algorithm is particularly suitable for mass-produced in …

The problem of tag completion is to learn the missing tags of an image. In this paper, we
propose to learn a tag scoring vector for each image by local linear learning. A local linear …

In this paper we study the problem of learning from multiple modal data for purpose of
document classification. In this problem, each document is composed two different modals of …

This paper presents a new motion vector based moving object detection system for use in
Advanced Driver Assistance Systems. By the shared-use of motion vectors with a video …

Crowd Density Analysis (CDA) aims to compute concentration of crowd in surveillance
videos. This paper core is to estimate the crowd concentrations using crowd feature tracking …

Most very-large-scale integration (VLSI) designs of the global optical flow method focus on
reducing external memory accesses due to global and iterative processes for low-power …

In this paper, we study the problem of using contextual data points of a data point for its
classification problem. We propose to represent a data point as the sparse linear …

Investigation of emotions manifested through facial expressions has valuable applications in
predictive behavioural studies. A potential application may be to impart intelligence to …

Performance evaluation of selected complex video processing algorithms, implemented on
a parallel, embedded GPU platform Tegra X1, is presented. Three algorithms were chosen …